| 基于改进BP神经网络的智能控制方法研究 |
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| 引用本文： | 肖卫国,胡赤兵.基于改进BP神经网络的智能控制方法研究[J].电气传动自动化,2000,22(3):19-21. |
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| 作者姓名： | 肖卫国 胡赤兵 |
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| 作者单位： | 北京控制与电子技术研究所!北京100038(肖卫国)，甘肃工业大学!甘肃兰州730050(胡赤兵，谭伟明) |
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| 基金项目： | 械工业部教育司科技基金项目!（97251416） |
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| 摘 要： | 针对典型 ＢＰ神经网络存在的缺陷而提出了一些有效的改进措施。通过采用改进的 ＢＰ神经网络来对控制规则样本采样的学习和训练，使网络记忆控制规则，以达到智能控制的目的。仿真和实验结果证明该方法具有优良的控制特性，满足伺服电机控制的需要。
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| 关 键 词： | 智能控制 改进的BP网络 |
Investigation of method for intelligent control based on neural network |
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| XIAO Wei-guo, HU Chi-bing, TAN Wei-ming.Investigation of method for intelligent control based on neural network[J].Electrical Drive Automation,2000,22(3):19-21. |
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| Authors: | XIAO Wei-guo HU Chi-bing TAN Wei-ming |
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| Abstract: | According to the defect of the classical BP neural network, some effectively improved method are presented. Then through the improved BP network to study and practise in the control regulation of sample, the control regulation are remembered by the network to realize the intelligent control. The simulation and test results show the method has excellent control characteristics and strong robustness, which meet servo motor control needs. |
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| Keywords: | intelligent control improved BP neural network |
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