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Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019,Volume: 30,Issue: 1,Page: 295-305
Authors:  Liu, Yan-Jun;  Li, Shu;  Tong, Shaocheng;  Chen, C. L. Philip
Favorite |  | TC[WOS]:32 TC[Scopus]:33 | Submit date:2019/01/17
Discrete-time systems  neural networks (NNs)  nonlinear systems  optimal control  reinforcement learning  
Shared Autoencoder Gaussian Process Latent Variable Model for Visual Classification Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 9,Page: 4272-4286
Authors:  Li, Jinxing;  Zhang, Bob;  Zhang, David
Favorite |  | TC[WOS]:5 TC[Scopus]:11 | Submit date:2018/10/30
Autoencoder  Discriminative  Gaussian Process (Gp)  Kernel  Latent Variable Model  Multiview