Professor Xia Hong

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Professor of Computer Science
PGR Programme Director
Office
Room 143Building location
Polly VacherAreas of interest
- Machine learning algorithms
- Data analytics
- Neuro-fuzzy systems
- Nonlinear system modelling and identification
- Learning theory and neural networks
- Optimisation, multi-sensor data fusion, pattern recognition and classifier design
- Signal processing for control and communications
- Bioinformatics.
Teaching
- Essential Algorithms and Machine Learning
Background
Professor Xia Hong received her university education at the National University of Defense Technology, P. R. China (BSc, 1984, MSc, 1987), and the University of Sheffield, UK (PhD, 1998), all in Automatic Control.She worked as a research assistant at the Beijing Institute of Systems Engineering, Beijing, China from 1987–1993. She worked as a research fellow in the Department of Electronics and Computer Science at University of Southampton from 1997–2001. She was appointed by the University of Reading as lecturer (2001), Reader (2009) and then Professor (2013).
Websites/blogs
See her personal website for more information. You can also find her on Google Scholar.Publications
- Osei-brefo, E. , Mitchell, R. , Hong, X. (2023) Hybrid dual-resampling and cost-sensitive classification for credit risk prediction.
- Morris, J. , Liu, Z. , Liang, H. , Nagala, S. , Hong, X. (2023) ThyExp: an explainable AI-assisted decision making toolkit for thyroid nodule diagnosis based on ultra-sound images.
- Hong, X. , Gao, J. , Wei, H. , Xiao, J. , Mitchell, R. (2023) Two-step scalable spectral clustering algorithm using landmarks and probability density estimation. Neurocomputing , 519 pp. 173-186. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2022.11.063
- Zhang, J. , Chen, M. , Hong, X. (2023) Monitoring multimode nonlinear dynamic processes: an efficient sparse dynamic approach with continual learning ability. IEEE Transactions on Industrial Informatics , 19 (7). pp. 8029-8038. ISSN: 1941-0050 | doi: https://dx.doi.org/10.1109/TII.2022.3215971
- Zhang, J. , Zhou, D. , Chen, M. , Hong, X. (2023) Continual learning for multimode dynamic process monitoring with applications to an ultra–supercritical thermal power plant. IEEE transactions on Automation Science and Engineering , 20 (1). pp. 137-150. ISSN: 1558-3783 | doi: https://dx.doi.org/10.1109/TASE.2022.3144288
- Zhang, J. , Zhou, D. , Chen, M. , Hong, X. (2022) Continual learning-based probabilistic slow feature analysis for monitoring multimode nonstationary processes. IEEE Transactions on Automation Science and Engineering ISSN: 1558-3783 | doi: https://dx.doi.org/10.1109/TASE.2022.3219125
- Amoudi, S. , Hong, X. , Wei, H. (2022) Modified Probabilistic Neural Networks LBP Classification Based on Distance Measures in Probability Space.
- Feng, Y. and Hong, X. (2021) Parameter tracking of time-varying Hammerstein-Wiener Systems. International Journal of Systems Science , 52 (16). pp. 3478-3492. ISSN: 0020-7721 | doi: https://dx.doi.org/10.1080/00207721.2021.1931546
- Zhang, J. , Chen, M. , Hong, X. (2021) Nonlinear process monitoring using a mixture of probabilistic PCA with clusterings. Neurocomputing , 458 pp. 319-326. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2021.06.039
- Shi, D. , Gao, J. , Hong, X. , Choy, S. , Wang, Z. (2021) Coupling matrix manifolds assisted optimization for optimal transport problems. Machine Learning , 110 pp. 533-558. ISSN: 1573-0565 | doi: https://dx.doi.org/10.1007/s10994-020-05931-2
- Hong, X. and Gao, J. (2021) Estimating the square root of probability density function on Riemannian manifold. Expert Systems: International Journal of Knowledge Engineering , 38 (7). ISSN: 1468-0394 | doi: https://dx.doi.org/10.1111/exsy.12266
- Hong, X. , Wei, H. , Gao, J. (2020) Nonlinear logistic regression model based on simplex basis function. | doi: https://dx.doi.org/10.1109/IJCNN48605.2020.9207064
- Alamoudi, S. , Hong, X. , Wei, H. (2020) Plant leaf recognition using texture features and semi-supervised spherical K-means clustering. | doi: https://dx.doi.org/10.1109/IJCNN48605.2020.9207386
- Hong, X. , Gao, J. , Chen, S. (2020) Semi-blind joint channel estimation and data detection on sphere manifold for MIMO with high-order QAM signaling. Journal of the Franklin Institute , 357 (9). pp. 5680-5690. ISSN: 0016-0032 | doi: https://dx.doi.org/10.1016/j.jfranklin.2020.04.009
- Moodley, P. , Rosman, B. , Hong, X. (2019) Understanding structure of concurrent actions. pp. 78-90.
- Xu, D. , Fang, M. , Hong, X. , Gao, J. (2019) Sparse least squares low rank kernel machines. International Conference on Neural Information Processing. Springer, Cham pp. 395-406. ISBN: 9783030367107 | doi: https://dx.doi.org/10.1007/978-3-030-36711-4_33
- Hong, X. , Mitchell, R. , Di Fatta, G. (2019) Simplex basis function based sparse least squares support vector regression. Neurocomputing , 330 pp. 394-402. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2018.11.025
- Zhang, J. , Chen, M. , Chen, H. , Hong, X. , Zhou, D. (2019) Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation. Industrial & Engineering Chemistry Research , 58 (14). pp. 5579-5587. ISSN: 1520-5045 | doi: https://dx.doi.org/10.1021/acs.iecr.8b05875
- Zhang, J. , Chen, H. , Chen, S. , Hong, X. (2019) An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring. IEEE Transactions on Cybernetics , 49 (1). pp. 198-210. ISSN: 2168-2267 | doi: https://dx.doi.org/10.1109/TCYB.2017.2771229
- Hong, X. , Di Fatta, G. , Chen, H. , Wang, S. (2018) Sparse least squares support vector regression for nonstationary systems.
- Song, X. , Jiang, X. , Gao, J. , Cai, Z. , Hong, X. (2018) Functional locality preserving projection for dimensionality reduction.
- Hong, X. , Chen, S. , Guo, Y. , Gao, J. (2017) l1-norm penalized orthogonal forward regression. International Journal of Systems Science , 48 (10). pp. 2195-2201. ISSN: 0020-7721 | doi: https://dx.doi.org/10.1080/00207721.2017.1311383
- Hong, X. and Chen, S. (2017) Recursive least squares semi-blind beamforming for MIMO using decision directed adaptation and constant modulus criterion. International Journal of Automation and Computing , 14 (4). pp. 442-449. ISSN: 1476-8186 | doi: https://dx.doi.org/10.1007/s11633-017-1087-6
- Chen, S. , Hong, X. , Khalaf, E. , Morfeq, A. , Alotaibi, N. , Harris, C. (2017) Single-carrier frequency-domain equalization with hybrid decision feedback equalizer for Hammerstein channels containing nonlinear transmit amplifier. IEEE Transactions on Wireless Communications , 16 (5). pp. 3341-3354. ISSN: 1536-1276 | doi: https://dx.doi.org/10.1109/TWC.2017.2681083
- Chen, S. , Hong, X. , Khalaf, E. , Alsaadi, F. , Harris, C. (2017) Comparative performance of complex-valued B-spline and polynomial models applied to iterative frequency-domain decision feedback equalization of Hammerstein channels. IEEE Transactions on Neural Networks and Learning Systems , 28 (12). pp. 2872-2884. ISSN: 2162-237X | doi: https://dx.doi.org/10.1109/TNNLS.2016.2609001
- Hong, X. , Gao, J. , Chen, S. (2017) Zero attracting recursive least squares algorithms. IEEE Transactions on Vehicular Technology , 66 (1). pp. 213 -221. ISSN: 0018-9545 | doi: https://dx.doi.org/10.1109/TVT.2016.2533664
- Hong, X. and Junbin, G. (2016) A fast algorithm to estimate the square root of probability density function.
- Chen, S. , Hong, X. , Khalaf, E. , Alsaadi, F. , Harris, C. (2016) Complex-valued B-spline neural network and its application to iterative frequency-domain decision feedback equalization for Hammerstein communication systems.
- Hong, X. and Gao, J. (2016) Manifold optimization for nonnegative coefficient logistic regression.
- Chen, H. , Gong, Y. , Hong, X. (2016) A new adaptive multiple modelling approach for non-linear and non-stationary systems. International Journal of Systems Science , 47 (9). pp. 2100-2110. ISSN: 0020-7721 | doi: https://dx.doi.org/10.1080/00207721.2014.973926
- Hong, X. , Chen, S. , Becerra, V. (2016) Sparse density estimator with tunable kernels. Neurocomputing , 173 (3). pp. 1976-1982. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2015.08.021
- Chen, H. , Gong, Y. , Hong, X. , Chen, S. (2016) A fast adaptive tunable RBF network for nonstationary systems. IEEE Transactions on Cybernetics , 46 (12). pp. 2683-2692. ISSN: 2168-2267 | doi: https://dx.doi.org/10.1109/TCYB.2015.2484378
- Sun, Y. , Gao, J. , Hong, X. , Mishra, B. , Yin, B. (2016) Heterogeneous tensor decomposition for clustering via manifold optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence , 38 (3). pp. 476-489. ISSN: 0162-8828 | doi: https://dx.doi.org/10.1109/TPAMI.2015.2465901
- Fu, Y. , Gao, J. , Tien, D. , Lin, Z. , Hong, X. (2016) Tensor LRR and sparse coding-based subspace clustering. IEEE Transactions on Neural Networks and Learning Systems , 27 (10). pp. 2120-2133. ISSN: 2162-237X | doi: https://dx.doi.org/10.1109/TNNLS.2016.2553155
- Hong, X. and Gao, J. (2015) Sparse density estimation on multinomial manifold combining local component analysis.
- Hong, X. and Gong, Y. (2015) A constrained recursive least squares algorithm for adaptive combination of multiple models.
- Fu, Y. , Gao, J. , Hong, X. , Tien, D. (2015) Low rank representation on Riemannian manifold of symmetric positive definite matrices. Proceedings of the 2015 SIAM International Conference on Data Mining. SIAM pp. 316-324. ISBN: 9781611974010 | doi: https://dx.doi.org/10.1137/1.9781611974010.36
- Chen, S. , Hong, X. , Khalaf, E. , Morfeq, A. , Alotaibi, N. (2015) Adaptive B-spline neural network based nonlinear equalization for high-order QAM systems with nonlinear transmit high power amplifier. Digital Signal Processing , 40 pp. 238-249. ISSN: 1051-2004 | doi: https://dx.doi.org/10.1016/j.dsp.2015.02.006
- Hong, X. , Gao, J. , Chen, S. , Zia, T. (2015) Sparse density estimation on the multinomial manifold. IEEE Transactions on Neural Networks and Learning Systems , 26 (11). pp. 2972-2977. ISSN: 2162-237X | doi: https://dx.doi.org/10.1109/TNNLS.2015.2389273
- Hong, X. , Chen, S. , Gao, J. , Harris, C. (2015) Nonlinear identification using orthogonal forward regression with nested optimal regularization. IEEE Transactions on Cybernetics , 45 (12). pp. 2925-2936. ISSN: 2168-2267 | doi: https://dx.doi.org/10.1109/TCYB.2015.2389524
- Hong, X. and Chen, S. (2015) Elastic net orthogonal forward regression. Neurocomputing , 148 pp. 551-560. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2014.07.008
- Fu, Y. , Gao, J. , Hong, X. , Tien, D. (2014) Tensor regression based on linked multiway parameter analysis.
- Fu, Y. , Gao, J. , Sun, Y. , Hong, X. (2014) Joint multiple dictionary learning for tensor sparse coding.
- Chen, S. , Hong, X. , Harris, C. (2014) On-line Gaussian mixture density estimator for adaptive minimum bit-error-rate beamforming receivers.
- Jiang, X. , Gao, J. , Hong, X. , Cai, Z. (2014) Gaussian processes autoencoder for dimensionality reduction.
- Hong, X. , Chen, S. , Harris, C. (2014) B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels.
- Sun, Y. , Gao, J. , Hong, X. , Guo, Y. , Harris, C. (2014) Dimensionality reduction assisted tensor clustering.
- Hong, X. , Chen, S. , Gong, Y. , Harris, C. (2014) Nonlinear equalization of Hammerstein OFDM systems. IEEE Transactions on Signal Processing , 62 (21). pp. 5629-5639. ISSN: 1053-587X | doi: https://dx.doi.org/10.1109/TSP.2014.2355773
- Hong, X. , Gao, J. , Jiang, X. , Harris, C. (2014) Estimation of Gaussian process regression model using probability distance measures. Systems Science & Control Engineering , 2 pp. 655-663. ISSN: 2164-2583 | doi: https://dx.doi.org/10.1080/21642583.2014.970731
- Hong, X. , Chen, S. , Harris, C. , Khalaf, E. (2014) Single-carrier frequency domain equalisation for hammerstein communication systems using complex-valued neural networks. IEEE Transactions on Signal Processing , 62 (17). pp. 4467-4478. ISSN: 1053-587X | doi: https://dx.doi.org/10.1109/TSP.2014.2333555
- Hong, X. , Chen, S. , Qatawneh, A. , Daqrouq, K. , Sheikh, M. , Morfeq, A. (2014) A radial basis function network classifier to maximise leave-one-out mutual information. Applied Soft Computing , 23 pp. 9-18. ISSN: 1568-4946 | doi: https://dx.doi.org/10.1016/j.asoc.2014.06.003
- Chen, H. , Gong, Y. , Hong, X. , Chen, S. (2014) Adaptive nonlinear equalizer using a mixture of gaussians based on-line density estimator. IEEE Transactions on Vehicular Technology , 63 (9). pp. 4265-4276. ISSN: 0018-9545 | doi: https://dx.doi.org/10.1109/TVT.2014.2313458
- Gao, M. , Hong, X. , Chen, S. , Harris, C. , Khalaf, E. (2014) PDFOS: PDF estimation based over-sampling for imbalanced two-class problems. Neurocomputing , 138 pp. 248-259. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2014.02.006
- Gao, M. , Hong, X. , Harris, C. (2014) Construction of neurofuzzy models for imbalanced data classification. IEEE Transactions on Fuzzy Systems , 22 (6). pp. 1472-1488. ISSN: 1063-6706 | doi: https://dx.doi.org/10.1109/TFUZZ.2013.2296091
- Hong, X. , Gao, J. , Jiang, X. , Harris, C. (2014) Fast identification algorithms for Gaussian process model. Neurocomputing , 133 pp. 25-31. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2013.11.035
- Chen, S. , Hong, X. , Gao, J. , Harris, C. (2014) Complex-valued B-spline neural networks for modeling and inverting Hammerstein systems. IEEE Transactions on Neural Networks and Learning Systems , 25 (9). pp. 1673-1685. ISSN: 2162-237X | doi: https://dx.doi.org/10.1109/TNNLS.2014.2298535
- Gao, M. , Hong, X. , Harris, C. (2014) A unified neurofuzzy model for classification. International Journal of Systems Science , 45 (10). pp. 2158-2171. ISSN: 0020-7721 | doi: https://dx.doi.org/10.1080/00207721.2013.763301
- Hong, X. , Iplikci, S. , Chen, S. , Warwick, K. (2014) A model-based PID controller for Hammerstein systems using B-spline neural networks. International Journal of Adaptive Control and Signal Processing , 28 (3-5). pp. 412-428. ISSN: 0890-6327 | doi: https://dx.doi.org/10.1002/acs.2293
- Hong, X. , Chen, S. , Harris, C. (2013) Complex-valued B-spline neural networks for modeling and inverse of Wiener systems. In: Hirose, A. , (eds.) Complex-valued neural networks: advances and applications. Wiley-IEEE press , Hoboken. pp. 209-233. ISBN: 9781118344606
- Hong, X. , Guo, Y. , Chen, S. , Gao, J. (2013) Sparse model construction using coordinate descent optimization.
- Hong, X. and Chen, S. (2013) A fast algorithm for sparse probability density function construction.
- Hong, X. , Chen, S. , Harris, C. (2013) Complex-valued b-spline neural networks for modelling and inverse of wiener systems. In: Hirose, A. , (eds.) Complex-Valued Neural Networks: Advances and Applications. hoboken, NJ, IEEE, WILEY. pp. 209-233. | doi: https://dx.doi.org/10.1002/9781118590072.ch9
- Hong, X. , Gao, J. , Chen, S. , Harris, C. (2013) Particle swarm optimisation assisted classification using elastic net prefiltering. Neurocomputing , 122 pp. 210-220. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2013.06.030
- Hong, X. , Chen, S. , Qatawneh, A. , Daqrouq, K. , Sheikh, M. , Morfeq, A. (2013) Sparse probability density function estimation using the minimum integrated square error. Neurocomputing , 114 pp. 122-129. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2013.02.003
- Hong, X. , Chen, S. , Harris, C. (2013) Elastic-net prefiltering for two-class classification. IEEE Transactions on Cybernetics , 43 (1). pp. 286-295. ISSN: 2168-2267 | doi: https://dx.doi.org/10.1109/TSMCB.2012.2205677
- Chen, S. , Hong, X. , Gong, Y. , Harris, C. (2013) Digital predistorter design using B-Spline neural network and inverse of De Boor algorithm. IEEE Transactions on Circuits and Systems Part I: fundamental theory and applications , 60 (6). pp. 1584-1594. ISSN: 1057-7122 | doi: https://dx.doi.org/10.1109/TCSI.2012.2226514
- Chen, H. , Gong, Y. , Hong, X. (2013) Online modeling with tunable RBF network. IEEE Transactions on Cybernetics , 43 (3). pp. 935-947. ISSN: 2168-2267 | doi: https://dx.doi.org/10.1109/TSMCB.2012.2218804
- Hong, X. , Mitchell, R. , Chen, S. (2013) System identification of Wiener systems with B-spline functions using De Boor recursion. International Journal of Systems Science , 44 (9). pp. 1666-1674. ISSN: 0020-7721 | doi: https://dx.doi.org/10.1080/00207721.2012.669863
- Li, K. , Hong, X. , Maione, G. , Niu, Q. (2012) Bio-inspired computing and applications (LSMS-ICSEE, 2010). Neurocomputing , 98 pp. 1-3. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2012.05.014
- Guo, Y. , Gao, J. , Hong, X. (2012) Constrained grouped sparsity. In: Thielscher, M. and Zhang, D. , (eds.) AI 2012: Advances in Artificial Intelligence - Proceedings of the 25th Australasian Joint Conference. Lecture Notes in Computer Science Springer (7691). pp. 433-444. ISBN: 9783642351006 | doi: https://dx.doi.org/10.1007/978-3-642-35101-3_37
- Chen, H. , Gong, Y. , Hong, X. (2012) Adaptive noise cancellation with fast tunable RBF network.
- Gao, M. , Hong, X. , Harris, C. (2012) A neurofuzzy classifier for two class problems. Proceedings of the UKCI 2012, the 12th UK Workshop on Computational Intelligence. Conference Publications IEEE pp. 1-6. ISBN: 9781467343916 | doi: https://dx.doi.org/10.1109/UKCI.2012.6335763
- Hong, X. and Chen, S. (2012) An elastic net orthogonal forward regression algorithm. pp. 1814-1819.
- Hong, X. , Iplikci, S. , Chen, S. , Warwick, K. (2012) B-spline neural networks based PID controller for Hammerstein systems. In: Huang, D. , Gupta, P. , Zhang, X. , Premaratne, P. , (eds.) Emerging Intelligent Computing Technology and Applications. Communications in Computer and Information Science , 304. Springer pp. 38-46. | doi: https://dx.doi.org/10.1007/978-3-642-31837-5_6
- Hong, X. and Chen, S. (2012) PSO assisted NURB Neural Network Identification.
- Hong, X. , Chen, S. , Harris, C. (2012) Modelling and inverting complex-valued Wiener systems.
- Gao, M. , Hong, X. , Chen, S. , Harris, C. (2012) Probability density function estimation based over-sampling for imbalanced two-class problems.
- Hong, X. and Chen, S. (2012) The system identification and control of Hammerstein system using non-uniform rational B-spline neural network and particle swarm optimization. Neurocomputing , 82 pp. 216-223. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2011.11.016
- Hong, X. , Chen, S. , Harris, C. (2012) Construction of radial basis function networks with diversified topologies. In: Wang, L. and Garnier, H. , (eds.) System identification, environmental modelling, and control system design. Springer , London. pp. 251-270. ISBN: 9780857299734 | doi: https://dx.doi.org/10.1007/978-0-85729-974-1_13
- Hong, X. , Chen, S. , Harris, C. (2012) Using zero-norm constraint for sparse probability density function estimation. International Journal of Systems Science , 43 (11). pp. 2107-2113. ISSN: 0020-7721 | doi: https://dx.doi.org/10.1080/00207721.2011.564673
- Hong, X. , Mitchell, R. , Chen, S. (2012) Modelling and control of Hammerstein system using B-spline approximation and the inverse of De Boor algorithm. International Journal of Systems Science , 43 (10). pp. 1976-1984. ISSN: 0020-7721 | doi: https://dx.doi.org/10.1080/00207721.2011.564320
- Hong, X. , Mitchell, R. , Chen, S. (2011) Wiener System identification using B-spline functions with De Boor recursion.
- Gao, M. , Hong, X. , Chen, S. , Harris, C. (2011) A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems. Neurocomputing , 74 (17). pp. 3456-3466. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2011.06.010
- Hong, X. , Gong, Y. , Chen, S. (2011) A Wiener model for memory high power amplifiers using B-spline function approximation. (ISBN: 9781457702730)
- Hong, X. , Gong, Y. , Chen, S. (2011) B-spline neural network based digital baseband predistorter solution using the inverse of De Boor algorithm. pp. 30-36.
- Gao, M. , Hong, X. , Chen, S. , Harris, C. (2011) On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems. pp. 1146-1153.
- Hong, X. and Chen, S. (2011) Modeling of complex-valued Wiener systems using B-spline neural network. IEEE Transactions on Neural Networks , 22 (5). pp. 818-825. ISSN: 1045-9227 | doi: https://dx.doi.org/10.1109/TNN.2011.2119328
- Chen, S. , Hong, X. , Harris, C. (2011) Grey-box radial basis function modelling. Neurocomputing , 74 (10). pp. 1564-1571. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2011.01.023
- Chen, H. , Gong, Y. , Hong, X. (2011) Adaptive modelling with tunable RBF network using multi-innovation RLS algorithm assisted by swarm intelligence. pp. 2132-2135.
- Gong, Y. , Hong, X. , AbuSalem, K. (2010) Adaptive MMSE equalizer with optimum tap-length and decision delay.
- Chen, S. , Hong, X. , Harris, C. (2010) Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression. The 2010 International Joint Conference on Neural Networks (IJCNN). IEEE pp. 3418-3423. ISBN: 9781424469161 | doi: https://dx.doi.org/10.1109/IJCNN.2010.5596855
- Chen, S. , Hong, X. , Harris, C. (2010) Regression based D-optimality experimental design for sparse kernel density estimation. Neurocomputing , 73 (4-6). pp. 727-739. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2009.11.002
- Chen, S. , Hong, X. , Harris, C. (2010) Probability density estimation with tunable kernels using orthogonal forward regression. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics , 40 (4). pp. 1101-1114. ISSN: 1083-4419 | doi: https://dx.doi.org/10.1109/TSMCB.2009.2034732
- Chen, S. , Hong, X. , Harris, C. (2010) Particle swarm optimization aided orthogonal forward regression for unified data modeling. IEEE Transactions on Evolutionary Computation , 14 (4). pp. 477-499. ISSN: 1089-778X | doi: https://dx.doi.org/10.1109/TEVC.2009.2035921
- Hong, X. , Chen, S. , Harris, C. (2010) Sparse kernel density estimation technique based on zero-norm constraint. The 2010 International Joint Conference on Neural Networks (IJCNN). IEEE pp. 3782-3787. ISBN: 9781424469161 | doi: https://dx.doi.org/10.1109/IJCNN.2010.5596853
- Hong, . and Chen, . (2009) A new RBF neural network with boundary value constraints. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics , 39 (1). pp. 298-303. ISSN: 1083-4419 | doi: https://dx.doi.org/10.1109/tsmcb.2008.2005124
- Gong, . and Hong, . (2009) OFDM joint data detection and phase noise cancellation for constant modulus modulations. IEEE Transactions on Signal Processing , 57 (7). pp. 2864-2868. ISSN: 1053-587X | doi: https://dx.doi.org/10.1109/tsp.2009.2018362
- Gong, . and Hong, . (2009) OFDM joint data detection and phase noise cancellation based on minimum mean square prediction error. Signal Processing , 89 (4). pp. 502-509. ISSN: 0165-1684 | doi: https://dx.doi.org/10.1016/j.sigpro.2008.10.006
- Chen, . , Hong, . , Luk, . , Harris, . (2009) Orthogonal-least-squares regression: A unified approach for data modelling. Neurocomputing , 72 (10-12). pp. 2670-2681. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2008.10.002
- Chen, . , Hong, . , Luk, . , Harris, . (2009) Construction of tunable radial basis function networks using orthogonal forward selection. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics , 39 (2). pp. 457-466. ISSN: 1083-4419 | doi: https://dx.doi.org/10.1109/tsmcb.2008.2006688
- Chen, . , Harris, . , Hong, . , Luk, . (2009) Nonlinear system identification using particle swarm optimisation tuned radial basis function models. International Journal of Bio-Inspired Computation , 1 (4). pp. 246-257. ISSN: 1758-0374 | doi: https://dx.doi.org/10.1504/IJBIC.2009.024723
- Chen, . , Hong, . , Luk, . , Harris, . (2009) A tunable radial basis function model for nonlinear system identification using particle swarm optimisation. IEEE pp. 6762-6767. ISBN: 9781424438716 | doi: https://dx.doi.org/10.1109/CDC.2009.5399687
- Chen, . , Hong, . , Harris, . (2009) Grey-box radial basis function modelling: the art of incorporating prior knowledge. IEEE | doi: https://dx.doi.org/10.1109/SSP.2009.5278559
- Hong, . and Zhu, . (2009) An on-line algorithm of uncertain time delay estimation in a continuous system. 2009 IEEE International Conference on Networking, Sensing and Control, Vols 1 and 2. IEEE International Conference on Networking, Sensing and Control IEEE , New York. pp. 498-501. ISBN: 9781424434916
- Li, . , Irwin, . , Hong, . (2008) Life system modelling, simulation, and bio-inspired computing (LSMS 2007). Neurocomputing , 72 (1-3). pp. 126-127. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2008.08.001
- Hong, . , Mitchell, . , Chen, . , Harris, . , Li, . , Irwin, . (2008) Model selection approaches for non-linear system identification: a review. International Journal of Systems Science , 39 (10). pp. 925-946. ISSN: 0020-7721 | doi: https://dx.doi.org/10.1080/00207720802083018
- Hong, . , Chen, . , Harris, . (2008) A-optimality orthogonal forward regression algorithm using branch and bound. IEEE Transactions on Neural Networks , 19 (11). pp. 1961-1967. ISSN: 1045-9227 | doi: https://dx.doi.org/10.1109/tnn.2008.2003251
- Hong, . , Chen, . , Harris, . (2008) A fast linear-in-the-parameters classifier construction algorithm using orthogonal forward selection to minimize leave-one-out misclassification rate. International Journal of Systems Science , 39 (2). pp. 119-125. ISSN: 0020-7721 | doi: https://dx.doi.org/10.1080/00207720701727822
- Hong, . , Chen, . , Harris, . (2008) A forward-constrained regression algorithm for sparse kernel density estimation. IEEE Transactions on Neural Networks , 19 (1). pp. 193-198. ISSN: 1045-9227 | doi: https://dx.doi.org/10.1109/tnn.2007.908645
- Hong, . and Chen, . (2008) A minimum approximate-BER beamforming approach for PSK modulated wireless systems. International Journal of Automation and Computing , 5 (3). pp. 284-289. ISSN: 1476-8186 | doi: https://dx.doi.org/10.1007/s11633-008-0284-8
- Chen, . , Hong, . , Harris, . , Hanzo, . (2008) Fully complex-valued radial basis function networks: orthogonal least squares regression and classification. Neurocomputing , 71 (16-18). pp. 3421-3433. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2007.12.003
- Chen, . , Hong, . , Harris, . (2008) An orthogonal forward regression technique for sparse kernel density estimation. Neurocomputing , 71 (4-6). pp. 931-943. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2007.02.008
- Chen, . , Hong, . , Harris, . (2008) Sparse kernel density estimator using orthogonal regression based on D-optimality experimental design. IEEE | doi: https://dx.doi.org/10.1109/IJCNN.2008.4633758
- Chen, . , Hong, . , Harris, . (2008) Fully complex-valued radial basis function networks for orthogonal least squares regression. IEEE | doi: https://dx.doi.org/10.1109/IJCNN.2008.4633759
- Gong, . and Hong, . (2008) A new algorithm for OFDM joint data detection and phase noise cancellation. 2008 IEEE International Conference on Communications, Proceedings, Vols 1-13. IEEE International Conference on Communications IEEE , New York. pp. 636-640. ISBN: 1550-3607 9781424420742
- Zong, . and Hong, . (2007) A multi-level probabilistic neural network. Lecture Notes in Computer Science , 4492 pp. 516-525. ISSN: 0302-9743 9783540723929
- Zong, . and Hong, . (2007) A forward constrained selection algorithm for probabilistic neural network. Lecture Notes in Computer Science , 4492 pp. 699-704. ISSN: 0302-9743 9783540723929
- Hong, . and Mitchell, . (2007) Hammerstein model identification algorithm using Bezier-Bernstein approximation. IET Control Theory and Applications , 1 (4). pp. 1149-1159. ISSN: 1751-8644 | doi: https://dx.doi.org/10.1049/iet-cta:20060018
- Hong, . and Mitchell, . (2007) Backward elimination model construction for regression and classification using leave-one-out criteria. International Journal of Systems Science , 38 (2). pp. 101-113. ISSN: 0020-7721 | doi: https://dx.doi.org/10.1080/00207720601051463
- Hong, . , Chen, . , Harris, . (2007) A kernel-based two-class classifier for imbalanced data sets. IEEE Transactions on Neural Networks , 18 (1). pp. 28-41. ISSN: 1045-9227 | doi: https://dx.doi.org/10.1109/TNN.2006.882812
- Hong, . (2007) Modified radial basis function neural network using output transformation. IET Control Theory and Applications , 1 (1). pp. 1-8. ISSN: 1751-8644 | doi: https://dx.doi.org/10.1049/iet-cta:20050039
- Chen, . , Hong, . , Harris, . (2007) Probability density function estimation using orthogonal forward regression. IEEE | doi: https://dx.doi.org/10.1109/IJCNN.2007.4371350
- Chen, . , Hong, . , Harris, . (2007) Sparse kernel modelling: a unified approach. Springer-Verlag
- Hong, . , Chen, . , Harris, . (2007) A sparse kernel density estimation algorithm using forward constrained regression. In: Huang, . , Heutte, . , Loog, . , (eds.) Advanced Intelligent Computing Theories and Applications - with Aspects of Contemporary Intelligent Computing Techniques. Communications in Computer and Information Science , 2. Springer-Verlag Berlin pp. 1354-1363. ISBN: 9783540742814
- Hong, . and Harwin, . (2006) Finding the point on Bezier Curves with the normal vector passing an external point. International Journal of Modelling Identification and Control , 1 (4). | doi: https://dx.doi.org/10.1504/IJMIC.2006.012620
- Hong, . , Chen, . , Harris, . (2006) Fast kernel classifier construction using orthogonal forward selection to minimise leave-one-out misclassification rate. Lecture Notes in Computer Science , 4113 pp. 106-114. ISSN: 0302-9743 9783540372714 | doi: https://dx.doi.org/10.1007/11816157_11
- Hong, . (2006) A fast identification algorithm for Box-Cox transformation based radial basis function neural network. IEEE Transactions on Neural Networks , 17 (4). pp. 1064-1069. ISSN: 1045-9227 | doi: https://dx.doi.org/10.1109/tnn.2006.875986
- Chen, . , Wang, . , Hong, . , Harris, . (2006) Kernel classifier construction using orthogonal forward selection and boosting with Fisher ratio class separability measure. IEEE Transactions on Neural Networks , 17 (6). pp. 1652-1656. ISSN: 1045-9227 | doi: https://dx.doi.org/10.1109/tnn.2006.881487
- Hong, . and Mitchell, . (2006) A pole assignment controller for Bezier-Bernstein polynomial based Hammerstein model - Paper ID 95. ISBN: 947649549
- Hong, . and Mitchell, . (2006) Bezier-Bernstein polynomial based Hammerstein model and identification algorithm - Paper ID23. ISBN: 0-9475-4954-9
- Chen, . , Hong, . , Harris, . (2006) Construction of RBF classifiers with tunable units using orthonogal forward selection based on leave-one-out misclassification rate. pp. 6390 - 6394.
- Zong, . and Hong, . (2005) Nonlinear channel equalizer design using directional evolutionary multi-objective optimization. International Journal of Systems Science , 36 (12). pp. 737-755. ISSN: 0020-7721 | doi: https://dx.doi.org/10.1080/00207720500218908
- Zong, . and Hong, . (2005) On improvement of classification accuracy for stochastic discrimination. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics , 35 (1). pp. 142-149. ISSN: 1083-4419 | doi: https://dx.doi.org/10.1109/tsmcb.2004.839908
- Hong, . and Chen, . (2005) M-estimator, and D-optimality model construction using orthogonal forward regression. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics , 35 (1). pp. 155-162. ISSN: 1083-4419 | doi: https://dx.doi.org/10.1109/tsmcb.2004.839910
- Chen, . , Hong, . , Harris, . , Wang, . (2005) Identification of nonlinear systems using generalized kernel models. IEEE Transactions on Control Systems Technology , 13 (3). pp. 401-411. ISSN: 1063-6536 | doi: https://dx.doi.org/10.1109/tcst.2004.841652
- Chen, . , Hong, . , Harris, . (2005) Orthogonal forward selection for constructing the radial basis function network with tunable nodes. Lecture Notes in Computer Science , 3644 pp. 777-786. ISSN: 0302-9743
- Hong, . and Chen, . (2005) A forward regression algorithm based on M-estimators.
- Hong, . (2005) A modified gradient descent nonlinear model parameter estimation algorithm by using combined micro-GA and constrained optimization.
- Hong, . (2005) Identification of Box-Cox radial basis function neural network.
- Chen, . , Hong, . , Wang, . , Harris, . (2005) Sparse generalised kernel modelling for nonlinear systems.
- Hong, . and Harris, . (2005) Neurofuzzy model construction, design and estimation . In: Ruano, . , (eds.) Intelligent Control Systems using Computational Intelligence Techniques. IEE Publishing , London UK. pp. 219 - 252.
- Hong, . , Harris, . , Chen, . (2004) Robust neurofuzzy rule base knowledge extraction and estimation using subspace decomposition combined with regularization and D-optimality. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics , 34 (1). pp. 598-608. ISSN: 1083-4419 | doi: https://dx.doi.org/10.1109/tsmcb.2003.817089
- Hong, . , Chen, . , Sharkey, . (2004) Automatic Kernel Regression Modelling using Combined Leave-One-Out Test Score and Regularised Orthogonal Least Squares. International Journal of Neural Systems , 14 (1). pp. 27-37.
- Hong, . , Brown, . , Chen, . , Harris, . (2004) Sparse model identification using orthogonal forward regression with basis pursuit and D-optimality. IEE Proceedings-Control Theory and Applications , 151 (4). pp. 491-498. ISSN: 1350-2379 | doi: https://dx.doi.org/10.1049/ip-cta:20040693
- Hong, . , Brown, . , Chen, . (2004) Backward elimination methods for associative memory network pruning. International Journal of Hybrid Intelligent Systems , 1 (1-2). pp. 90-98.
- Chen, . , Hong, . , Harris, . , Sharkey, . (2004) Sparse modeling using orthogonal forward regression with PRESS statistic and regularization. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics , 34 (2). pp. 898-911. ISSN: 1083-4419 | doi: https://dx.doi.org/10.1109/tsmcb.2003.817107
- Chen, . , Hong, . , Harris, . (2004) Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics , 34 (4). pp. 1708-1717. ISSN: 1083-4419 | doi: https://dx.doi.org/10.1109/tsmcb.2004.828199
- Chen, . , Hong, . , Harris, . (2004) Kernel density construction using orthogonal forward regression. Lecture Notes in Computer Science , 3177 pp. 586-592. ISSN: 0302-9743 3-540-22881-0
- Zong, . and Hong, . (2004) On improvement of classification accuracy for stochastic discrimination-multi-class Classification.
- Zong, . and Hong, . (2004) Improvement of classification accuracy for stochastic discrimination - Multi-class classification. In: Chu, . , Savoie, . , Sanchez, . , (eds.) International Conference on Computing, Communications and Control Technologies, Vol 2, Proceedings. Int Inst Informatics & Systemics , Orlando. pp. 17-22. ISBN: 9806560175
- Zong, . and Hong, . (2004) RBF equalizer design using directional evolutionary multi-objective optimization. In: Chu, . , Savoie, . , Toraichi, . , Kwan, . , (eds.) International Conference on Computing, Communications and Control Technologies, Vol 3, Proceedings. Int Inst Informatics & Systemics , Orlando. pp. 109-114. ISBN: 9806560175
- Chen, S. and Hong, X. (2003) Orthogonal forward regression based on directly maximizing model generalization capability. In: Hu, H. , Yue, Y. , Zhao, Z. , (eds.) Proceedings of the 2003 Chinese automation & computing society conference in the UK 2003 . Pacilantic International pp. 251-256. ISBN: 9780953389063
- Zong, . and Hong, . (2003) A combined algorithm using support vector machines and orthogonal forward regression with PRESS statistic. The 2003 UK Workshop on Computational Intelligence pp. 315-319.
- Wilson, . , Harris, . , Hong, . (2003) A line of sight counteraction navigation algorithm for ship encounter collision avoidance. Journal of Navigation , 56 (1). pp. 111-121.
- Hong, . , Sharkey, . , Warwick, . (2003) Automatic nonlinear predictive model-construction algorithm using forward regression and the PRESS statistic. IEE Proceedings-Control Theory and Applications , 150 (3). pp. 245-254. ISSN: 1350-2379 | doi: https://dx.doi.org/10.1049/ip-cta:20030311
- Hong, . , Sharkey, . , Warwick, . (2003) A robust nonlinear identification algorithm using PRESS statistic and forward regression. IEEE Transactions on Neural Networks , 14 (2). pp. 454-458. ISSN: 1045-9227 | doi: https://dx.doi.org/10.1109/tnn.2003.809422
- Hong, . , Harris, . , Chen, . , Sharkey, . (2003) Robust nonlinear model identification methods using forward regression. IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans , 33 (4). pp. 514-523. ISSN: 1083-4427 | doi: https://dx.doi.org/10.1109/tsmca.2003.809217
- Hong, . and Harris, . (2003) Experimental design and model construction algorithms for radial basis function networks. International Journal of Systems Science , 34 (14-15). pp. 733-745. ISSN: 0020-7721 | doi: https://dx.doi.org/10.1080/00207720310001640223
- Hong, . and Harris, . (2003) A neurofuzzy network knowledge extraction and extended gram-Schmidt algorithm for model subspace decomposition. IEEE Transactions on Fuzzy Systems , 11 (4). pp. 528-541. ISSN: 1063-6706 | doi: https://dx.doi.org/10.1109/tfuzz.2003.814842
- Hong, . , Brown, . , Harris, . , Chen, . (2003) An orthogonal forward regression algorithm combined with basis pursuit and D-optimality. IEEE SMC UK&RI Chapter Workshop: Cybernetic Intelligence-Challenges and Advances pp. 57-62.
- Chen, . , Hong, . , Harris, . (2003) Sparse kernel regression modeling using combined locally regularized orthogonal least squares and D-optimality experimental design. IEEE Transactions on Automatic Control , 48 (6). pp. 1029-1036. ISSN: 0018-9286 | doi: https://dx.doi.org/10.1109/tac.2003.812790
- Chen, . , Hong, . , Harris, . (2003) Sparse multioutput radial basis function network construction using combined locally regularised orthogonal least square and D-optimality experimental design. IEE Proceedings-Control Theory and Applications , 150 (2). pp. 139-146. ISSN: 1350-2379 | doi: https://dx.doi.org/10.1049/ip-cta:20030253
- Harris, . and Hong, . (2003) Neurofuzzy model construction and knowledge extraction using subspace decomposition.
- Hong, . , Harris, . , Chen, . , Sharkey, . (2003) Robust identification for linear-in-the-parameters models. In: Ruano, . , Ruano, . , Fleming, . , (eds.) Intelligent Control Systems and Signal Processing 2003. Ifac Proceedings Series Pergamon-Elsevier Science Ltd , Kidlington. pp. 273-278. ISBN: 80440886
- Harris, C. , Hong, X. , Gan, Q. (2002) Adaptive modelling, estimation and fusion from data: a neurofuzzy approach. Advanced Information Processing Springer , Berlin. pp 339. ISBN: 9783540426868
- Harris, C. and Hong, X. (2002) Neurofuzzy state space modelling and control using Kalman filtering state feedback with coloured noise. pp 502.
- Chen, S. , Hong, X. , Harris, C. (2002) Sparse data modelling using combined locally regularized orthogonal least squares and D-optimality design.
- Hong, X. and Harris, C. (2002) A mixture of experts network structure construction algorithm for modelling and control. Applied Intelligence , 16 (1). pp. 59-69. ISSN: 1573-7497 | doi: https://dx.doi.org/10.1023/A:1012869427428
- Hong, X. and Harris, C. (2002) Nonlinear model structure design and construction using orthogonal least squares and D-optimality design. IEEE Transactions on Neural Networks , 13 (5). pp. 1245-1250. ISSN: 1045-9227 | doi: https://dx.doi.org/10.1109/TNN.2002.1031959
- Harris, C. and Hong, X. (2001) Neurofuzzy approaches to intelligent collision avoidance problems in (semi) autonomous transportation. pp. 517-522.
- Harris, C. and Hong, X. (2001) Parallel neurofuzzy learning and construction algorithm.
- Harris, C. and Hong, X. (2001) Neurofuzzy control using Kalman filtering state feedback with coloured noise for unknown non-linear processes. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering , 215 (5). pp. 423-435. ISSN: 2041-3041 | doi: https://dx.doi.org/10.1177/095965180121500501
- Hong, X. and Harris, C. (2001) Variable selection algorithm for the construction of MIMO operating point dependent neurofuzzy networks. IEEE Transactions on Fuzzy Systems , 9 (1). pp. 88-101. ISSN: 1063-6706 | doi: https://dx.doi.org/10.1109/91.917117
- Hong, X. and Harris, C. (2001) Nonlinear model structure detection using optimum experimental design and orthogonal least squares. IEEE Transactions on Neural Networks , 12 (2). pp. 435-439. ISSN: 1045-9227 | doi: https://dx.doi.org/10.1109/72.914539
- Hong, X. and Harris, C. (2001) Neurofuzzy design and model construction of nonlinear dynamical processes from data. IEE Proceedings-Control Theory and Applications , 148 (6). pp. 530-538. ISSN: 1350-2379 | doi: https://dx.doi.org/10.1049/ip-cta:20010704
- Harris, C. and Hong, X. (2001) Neurofuzzy mixture of experts network parallel learning and model construction algorithms. IEE Proceedings-Control Theory and Applications , 148 (6). pp. 456-465. ISSN: 1350-2379 | doi: https://dx.doi.org/10.1049/ip-cta:20010758
- Harris, C. and Hong, X. (2000) Data based constructive identification - overcoming the curse of dimensionality.
- Harris, C. , Hong, X. , Gan, Q. (2000) Neurofuzzy state estimators. In: Sinha, N. and Gupta, M. , (eds.) Soft computing and intelligent systems: theory and applications. Academic Press pp. 377-402. ISBN: 9780126464900
- Hong, X. and Harris, C. (2000) Generalized neurofuzzy network modeling algorithms using Bezier-Bernstein polynomial functions and additive decomposition. IEEE Transactions on Neural Networks , 11 (4). pp. 889-902. ISSN: 1045-9227 | doi: https://dx.doi.org/10.1109/72.857770
- Harris, C. and Hong, X. (2000) Neurofuzzy network model construction using Bézier-Bernstein polynomial functions. IEE Proceedings-Control Theory and Applications , 147 (3). pp. 337-343. ISSN: 1350-2379 | doi: https://dx.doi.org/10.1049/ip-cta:20000394
- Harris, C. , Hong, X. , Wilson, P. (1999) An intelligent guidance and control system for ship obstacle avoidance. pp. 135-140.
- Hong, X. , Harris, C. , Wilson, P. (1999) Autonomous ship collision free trajectory navigation and control algorithms. Proceedings of EFTA '99: the7th IEEE International Conference on Emerging Technologies and Factory Automation. , 2. IEEE Press , Barcelona, Spain. pp. 923-929. ISBN: 780356705 | doi: https://dx.doi.org/10.1109/ETFA.1999.813090
- Harris, C. , Hong, X. , Feng, M. (1999) Optimal piecewise locally linear modeling. pp. 486. ISSN: 0277786X | doi: https://dx.doi.org/10.1117/12.342906
- Hong, X. and Billings, S. (1999) Time series multistep-ahead predictability estimation and ranking. Journal of Forecasting , 18 (2). pp. 139-149. ISSN: 0277-6693 | doi: https://dx.doi.org/10.1002/(SICI)1099-131X(199903)18:2<139::AID-FOR710>3.0.CO;2-W
- Hong, X. and Billings, S. (1999) Parameter estimation based on stacked regression and evolutionary algorithms. IEE Proceedings-Control Theory and Applications , 146 (5). pp. 406-414. ISSN: 1350-2379 | doi: https://dx.doi.org/10.1049/ip-cta:19990505
- Hong, X. , Harris, C. , Wilson, P. (1999) Neurofuzzy state identification using prefiltering. IEE Proceedings-Control Theory and Applications , 146 (2). pp. 234-240. ISSN: 1350-2379 | doi: https://dx.doi.org/10.1049/ip-cta:19990121
- Harris, C. , Hong, X. , Wilson, P. (1999) An intelligent guidance and control system for ship obstacle avoidance. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering , 213 (4). pp. 311-320. ISSN: 2041-3041 | doi: https://dx.doi.org/10.1243/0959651991540179
- Billings, S. and Hong, X. (1998) Dual-orthogonal radial basis function networks for nonlinear time series prediction. Neural Networks , 11 (3). pp. 479-493. ISSN: 0893-6080 | doi: https://dx.doi.org/10.1016/S0893-6080(97)00132-9
- Hong, X. and Billings, S. (1997) Givens rotation based fast backward elimination algorithm for RBF neural network pruning. IEE Proceedings-Control Theory and Applications , 144 (5). pp. 381-384. ISSN: 1350-2379 | doi: https://dx.doi.org/10.1049/ip-cta:19971436