| Universal approximation capability of broad learning system and its structural variations CLP Chen, Z Liu, S Feng IEEE transactions on neural networks and learning systems 30 (4), 1191-1204, 2018 | 483 | 2018 |
| Fuzzy broad learning system: A novel neuro-fuzzy model for regression and classification S Feng, CLP Chen IEEE transactions on cybernetics 50 (2), 414-424, 2018 | 391 | 2018 |
| Stacked broad learning system: From incremental flatted structure to deep model Z Liu, CLP Chen, S Feng, Q Feng, T Zhang IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (1), 209-222, 2020 | 101 | 2020 |
| A fuzzy restricted boltzmann machine: Novel learning algorithms based on crisp possibilistic mean value of fuzzy numbers S Feng, CLP Chen IEEE Transactions on Fuzzy Systems, 2016 | 83 | 2016 |
| Finite-time adaptive quantized control of stochastic nonlinear systems with input quantization: A broad learning system based identification method S Sui, CLP Chen, S Tong, S Feng IEEE Transactions on Industrial Electronics 67 (10), 8555-8565, 2019 | 82 | 2019 |
| On the accuracy–complexity tradeoff of fuzzy broad learning system S Feng, CLP Chen, L Xu, Z Liu IEEE Transactions on Fuzzy Systems 29 (10), 2963-2974, 2020 | 56 | 2020 |
| A fuzzy deep model based on fuzzy restricted Boltzmann machines for high-dimensional data classification S Feng, CLP Chen, CY Zhang IEEE Transactions on Fuzzy Systems 28 (7), 1344-1355, 2019 | 52 | 2019 |
| Broad learning system for control of nonlinear dynamic systems S Feng, CLP Chen 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 33 | 2018 |
| Nonlinear system identification using a simplified fuzzy broad learning system: Stability analysis and a comparative study S Feng, CLP Chen Neurocomputing 337, 274-286, 2019 | 31 | 2019 |
| Generative and discriminative fuzzy restricted Boltzmann machine learning for text and image classification CLP Chen, S Feng IEEE transactions on cybernetics 50 (5), 2237-2248, 2018 | 31 | 2018 |
| A new training algorithm for HHFNN based on Gaussian membership function for approximation S Feng, H Li, D Hu Neurocomputing 72 (7-9), 1631-1638, 2009 | 22 | 2009 |
| An improved comprehensive evaluation model and its application W Zeng, S Feng International journal of computational intelligence systems 7 (4), 706-714, 2014 | 16 | 2014 |
| Approximate reasoning algorithm of interval-valued fuzzy sets based on least square method W Zeng, S Feng Information Sciences 272, 73-83, 2014 | 14 | 2014 |
| Performance analysis of fuzzy BLS using different cluster methods for classification S Feng, CLP Chen Science China. Information Sciences 64 (4), 149205, 2021 | 10 | 2021 |
| Fuzzy restricted Boltzmann machine and deep belief network: A comparison on image reconstruction F Shuang, CLP Chen 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017 | 8 | 2017 |
| A kind of nonlinear and non-convex optimization problems under mixed fuzzy relational equations constraints with max-min and max-average composition S Feng, Y Ma, J Li 2012 Eighth International Conference on Computational Intelligence and …, 2012 | 7 | 2012 |
| A kind of nonlinear programming problem based on mixed fuzzy relation equations constraints J Li, S Feng, H Mi Physics Procedia 33, 1717-1724, 2012 | 6 | 2012 |
| Strong shadow removal of text document images based on background estimation and shading scale B Wang, S Feng, CLP Chen 2020 7th International Conference on Information, Cybernetics, and …, 2020 | 3 | 2020 |
| Broad Learning System for Class Incremental Learning R Han, CLP Chen, S Feng 2018 International Conference on Security, Pattern Analysis, and Cybernetics …, 2018 | 2 | 2018 |
| Chebyshev polynomial broad learning system S Feng, B Wang, CLP Chen 2021 8th International Conference on Information, Cybernetics, and …, 2021 | 1 | 2021 |
C. L. Philip ChenChair Professor, South China University of Technology, Philip.Chen@ieee.orgVerified email at scut.edu.cn
