| 基于IMSE的神经网络优化设计方法在板厚板形控制中的应用 |
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| 引用本文： | 王粉花,王莉,孙一康.基于IMSE的神经网络优化设计方法在板厚板形控制中的应用[J].小型微型计算机系统,2004,25(12):2264-2267. |
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| 作者姓名： | 王粉花 王莉 孙一康 |
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| 作者单位： | 北京科技大学,信息工程学院,北京,100083 |
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| 基金项目： | 国家"十五"重大技术装备研究项目(ZZ-02-13B-03-03)资助 |
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| 摘 要： | 提出基于免疫调节的共生进化算法 (IMSE)的神经网络优化设计方法 ,融入了免疫调节原理中的浓度抑制调节机制以保持个体的多样性 ,有效地克服了未成熟收敛现象 .在应用于二机架冷连轧板厚板形综合控制系统中的仿真实验表明 ,该方法能很好地适应复杂环境 ,并具有较好的收敛性和较强的抗扰性
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| 关 键 词： | 免疫调节 共生进化算法 神经网络 板厚板形控制 |
| 文章编号： | 1000-1220(2004)12-2264-04 |
Application of Neural Network Optimized Design Based on Immune Modulated Symbiotic Evolution (IMSE) to AGC-ASC System |
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| WANG Fen-hua,WANG Li,SUN Yi-kang.Application of Neural Network Optimized Design Based on Immune Modulated Symbiotic Evolution (IMSE) to AGC-ASC System[J].Mini-micro Systems,2004,25(12):2264-2267. |
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| Authors: | WANG Fen-hua WANG Li SUN Yi-kang |
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| Abstract: | Optimized design of neural network based on immune modulated symbiotic evolution (IMSE) was proposed, which combines the adjustment of antibody of immune modulated theory so as to keep the individual diversity, eliminates effectively the premature convergence. The results of simulation experiment applied in AGC-ASC system of the two stands reversing tandem cold mill show that this method is suited to the complicated climate, and has good convergence and resisting disturbance. |
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| Keywords: | immune modulate symbiotic evolutional arithmetic neural network AGC-ASC system |
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