| 基于遗传算法的神经网络控制器的设计及应用 |
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| 引用本文： | 李智超,任长明,孙学梅,裴理. 基于遗传算法的神经网络控制器的设计及应用[J]. 微处理机, 2003, 0(6): 53-55 |
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| 作者姓名： | 李智超 任长明 孙学梅 裴理 |
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| 作者单位： | 天津大学计算机系,天津,300072 |
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| 摘 要： | 本文提出了一种改进的遗传算法进行神经网络的训练，它结合神经网络、遗传算法两种方法的优点，并用仿真实验表明该方法的有效性。用改进算法设计的神经网络控制器，来实现循环型制气过程优化控制，取得了令人满意的结果，验证了该方法具有良好的鲁棒性和控制精度。
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| 关 键 词： | 神经网络 控制器 设计 遗传算法 数学模型 |
| 文章编号： | 1002-2279(2003)06-0000-03 |
| 修稿时间： | 2003-03-29 |
The Design and Application of Neural Network Controller Based on Genetic Algorithm |
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| LI Zhi-chao,REN Chang-ming,SUN Xue-mei,et al. The Design and Application of Neural Network Controller Based on Genetic Algorithm[J]. Microprocessors, 2003, 0(6): 53-55 |
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| Authors: | LI Zhi-chao REN Chang-ming SUN Xue-mei et al |
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| Abstract: | The neural network trained by improved genetic algorithm is proposed. It combines the advantages of the two methods: neural network and genetic algorithm. Its simulation experiment shows the method validity. The neural network controller based on the last algorithm is applied to the optimum control to the circulating gas making process, and its experiment results are satisfactory, which verified its better robust and control accuracy. |
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| Keywords: | Genetic algorithm Neural network control BP algorithm The circulating gas making process |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
