A review of clustering techniques and developments A Saxena, M Prasad, A Gupta, N Bharill, OP Patel, A Tiwari, MJ Er, ... Neurocomputing 267, 664-681, 2017 | 1454 | 2017 |
Face recognition with radial basis function (RBF) neural networks MJ Er, S Wu, J Lu, HL Toh IEEE transactions on neural networks 13 (3), 697-710, 2002 | 1026 | 2002 |
Illumination compensation and normalization for robust face recognition using discrete cosine transform in logarithm domain W Chen, MJ Er, S Wu IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 36 …, 2006 | 781 | 2006 |
Dynamic fuzzy neural networks-a novel approach to function approximation S Wu, MJ Er IEEE transactions on systems, man, and cybernetics, part B (cybernetics) 30 …, 2000 | 598 | 2000 |
A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks S Wu, MJ Er, Y Gao IEEE transactions on fuzzy systems 9 (4), 578-594, 2001 | 531 | 2001 |
High-speed face recognition based on discrete cosine transform and RBF neural networks MJ Er, W Chen, S Wu IEEE Transactions on neural networks 16 (3), 679-691, 2005 | 414 | 2005 |
NARMAX time series model prediction: feedforward and recurrent fuzzy neural network approaches Y Gao, MJ Er Fuzzy sets and systems 150 (2), 331-350, 2005 | 324 | 2005 |
Wireless sensor networks for industrial environments KS Low, WNN Win, MJ Er International Conference on Computational Intelligence for Modelling …, 2005 | 308 | 2005 |
Online adaptive fuzzy neural identification and control of a class of MIMO nonlinear systems Y Gao, MJ Er IEEE Transactions on Fuzzy Systems 11 (4), 462-477, 2003 | 268 | 2003 |
Coverage path planning for UAVs based on enhanced exact cellular decomposition method Y Li, H Chen, MJ Er, X Wang Mechatronics 21 (5), 876-885, 2011 | 245 | 2011 |
A hybrid particle swarm optimization based fuzzy expert system for the diagnosis of coronary artery disease S Muthukaruppan, MJ Er Expert Systems with Applications 39 (14), 11657-11665, 2012 | 232 | 2012 |
Fuzzy neural network modelling for tool wear estimation in dry milling operation X Li, BS Lim, JH Zhou, S Huang, SJ Phua, KC Shaw, MJ Er Annual conference of the PHM society 1 (1), 2009 | 225 | 2009 |
Direct adaptive fuzzy tracking control of marine vehicles with fully unknown parametric dynamics and uncertainties N Wang, MJ Er IEEE Transactions on Control Systems Technology 24 (5), 1845-1852, 2016 | 206 | 2016 |
Adaptive robust online constructive fuzzy control of a complex surface vehicle system N Wang, MJ Er, JC Sun, YC Liu IEEE Transactions on Cybernetics 46 (7), 1511-1523, 2015 | 206 | 2015 |
PCA and LDA in DCT domain W Chen, MJ Er, S Wu Pattern Recognition Letters 26 (15), 2474-2482, 2005 | 189 | 2005 |
Online tuning of fuzzy inference systems using dynamic fuzzy Q-learning MJ Er, C Deng IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004 | 184 | 2004 |
An incremental learning of concept drifts using evolving type-2 recurrent fuzzy neural networks M Pratama, J Lu, E Lughofer, G Zhang, MJ Er IEEE Transactions on Fuzzy Systems 25 (5), 1175-1192, 2016 | 181 | 2016 |
Global asymptotic model-free trajectory-independent tracking control of an uncertain marine vehicle: An adaptive universe-based fuzzy control approach N Wang, SF Su, J Yin, Z Zheng, MJ Er IEEE Transactions on Fuzzy Systems 26 (3), 1613-1625, 2017 | 174 | 2017 |
Review on deep learning techniques for marine object recognition: Architectures and algorithms N Wang, Y Wang, MJ Er Control Engineering Practice 118, 104458, 2022 | 172 | 2022 |
Self-constructing adaptive robust fuzzy neural tracking control of surface vehicles with uncertainties and unknown disturbances N Wang, MJ Er IEEE Transactions on Control Systems Technology 23 (3), 991-1002, 2014 | 171 | 2014 |