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引用本文：

万继宏.用进化策略优化多层感知器产生混纯序列[J].电讯技术，2000，40（5）：15 - 18. [点击复制]
.Optimizing Multi-layer Perceptrons for Generating Chaotic Series with Evolution ary Strategy[J].，2000，40（5）：15 - 18. [点击复制]

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用进化策略优化多层感知器产生混纯序列

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摘要:

利用进化策略建立产生混沌的优化感知器模型。该模型产生的混沌序列更换调整容易。计算机仿真结果表明：该模型比ＢＰ算法训练的多层感知器模型能更好地重构的混沌吸引子。

关键词: 混沌序列进化策略多层感知器优化计算机仿真

DOI：10.3969/j.issn.1001-893X.

基金项目:

Optimizing Multi-layer Perceptrons for Generating Chaotic Series with Evolution ary Strategy

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Abstract:

A generating chaotic series model, Multi-layer perceptrons(MLP) trained by evolutionary strategy(ES) , is presented in this paper. Changing the output chao tic series generated by this model is very easy. Experimental results show that this ES-trained MLP model can be generated a chaotic series whose attractor can be reconstructed better than that generated by the BP-trained MLP model.

Key words: Chaos Series,Evolutionary Strategy,M ulti-layer Perceptrons