| 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.基于改进BP神经网络的智能控制方法研究[J].系统工程与电子技术,2000,22(9):22-24. |
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| 作者姓名： | 肖卫国 |
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| 作者单位： | 中国航天机电集团公司十七所,北京,100038 |
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| 基金项目： | 机械工业部教育司科技基金资助课题!(972 51 4 1 6) |
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| 摘 要： | 针对典型BP神经网络存在的缺陷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进行学习和训练 ,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 ,能满足伺服电机控制的需要。
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| 关 键 词： | 神经 网络 控制系统 前馈控制 |
| 修稿时间： | 1999-11-04 |
Research on Method for Intelligent Control Based on Improved BP Neural Network |
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| Xiao Weiguo.Research on Method for Intelligent Control Based on Improved BP Neural Network[J].System Engineering and Electronics,2000,22(9):22-24. |
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| Authors: | Xiao Weiguo |
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| Abstract: | According to the defect of the classical BP neural network, this thesis puts forth some effectively improved methods. By using the the improved BP network the control regulation of sample can be studied and practised by which let the net work remember the control regulation. The practised network in realizing control is used to realize the intelligent control. Simulation and test result show that the method has excellent control characteristic and strong robustness, which meets the servo motor control needs. |
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| Keywords: | Neural Network Control system Feedforward control |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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