[1]张冰,张宏基.一种基于神经网络的学习控制方法[J].深圳大学学报理工版,1997,14(1):83-89.
 Zhang Bing and Zhang Jihong.A Neural Network Approach to Reinforcement Learning Control[J].Journal of Shenzhen University Science and Engineering,1997,14(1):83-89.
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一种基于神经网络的学习控制方法()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第14卷
期数:
1997年1期
页码:
83-89
栏目:
电子与信息科学
出版日期:
1997-06-30

文章信息/Info

Title:
A Neural Network Approach to Reinforcement Learning Control
作者:
张冰张宏基
深圳大学电子工程系, 深圳518060
Author(s):
Zhang Bing and Zhang Jihong
Dept. of Electronic Engineering Shenzhen University, Shenzhen 518060, P .R .China
关键词:
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分类号:
TN 391.8
摘要:
提出一种新的基于神经网络的增强式学习控制方法.学习控制器包括系统性能的评估部分及由性能评估提供的增强信号引导下进行学习的神经网络部分.模拟及物理实验结果表明 ,此方法具有学习速度快 ,适应性强 ,通用性好等特点.
Abstract:
A new scheme of reinforcement leading control using neural networks is presented .The learning controller consists of a performance evaluation part and a neural network part that learns under the influence of the reinforcement signal provided by performance evaluation .Results of simulation and physical experiments showed that the learning controller was able to learn to control a nonlinear system at a much faster learning rate and more adaptive to system parameter changes than most of the other learning control algorithms for the same task .Furthermore , it is general -purpose .

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更新日期/Last Update: 2016-03-15