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Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 1, 页码: 295-305
作者:  Liu, Yan-Jun;  Li, Shu;  Tong, Shaocheng;  Chen, C. L. Philip
收藏  |  浏览/下载：289/0  |  提交时间：2019/07/12
Discrete-time systems  neural networks (NNs)  nonlinear systems  optimal control  reinforcement learning  
Computational Model Based on Neural Network of Visual Cortex for Human Action Recognition 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 5, 页码: 1427-1440
作者:  Liu, Haihua;  Shu, Na;  Tang, Qiling;  Zhang, Wensheng
收藏  |  浏览/下载：188/0  |  提交时间：2018/10/10
Action Recognition  Classical Receptive Field (Rf)  Spiking Neural Networks (Snns)  Surround Suppression  Visual Cortex