| 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. |
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| 基金项目: |
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| 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 |
