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使用单个自适应神经元的智能控制 被引量:29

Intelligent Control Using the Single Adaptive Neuron
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摘要 提出一种适用于控制的自适应神经元模型以及使用单个自适应神经元的智能控制方法,描述了神经元的学习策略和收敛性,给出了神经元系统控制学习算法及其学习控制机理证明.实例表明了这种新颖的智能控制方法简单可行的优点. A model for the adaptive neuron suitable for control is developed. Using the single adaptive neuron, a new method for intelligent control is proposed. The strategy and convergence of the neuron learning are described. The control learning algorithm is presented and the mechanism of learning control is discussed. Such a novel intelligent control method is very simple. Its feasibility is illustrated with two examples. The remarkable advantages of neural control are described.
出处 《华中理工大学学报》 CSCD 北大核心 1993年第3期31-35,共5页 Journal of Huazhong University of Science and Technology
关键词 智能控制 自适应 神经元 学习策略 intelligent control adaptive neuron learning strategy convergence control learning algorithm mechanism of learning control
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参考文献1

  • 1Andrew G. Barto,Richard S. Sutton,Peter S. Brouwer. Associative search network: A reinforcement learning associative memory[J] 1981,Biological Cybernetics(3):201~211

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引证文献29

二级引证文献148

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