Research on method of neural network optimized design based on immune modulated symbiotic evolution

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作者：
School of Computer, Hunan University of Technology, Zhuzhou 412008, China [1 ]
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来源：
J. Comput. Inf. Syst. | 2006年 / 4卷 / 1317-1324期
关键词：
Convergence of numerical methods - Evolutionary algorithms - Flowcharting;
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摘要：
Optimized design of neural network based on immune modulated symbiotic evolution (IMSE) is proposed. This combines the adjustment of antibody of immune modulated theory so as to maintain the individual diversity. This 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 resists disturbance.
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