| 常见遗传多层前馈神经网络实数编码的不合理性分析和改进 |
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| 引用本文： | 莫鸿强,罗 飞,侯小梅,毛宗源.常见遗传多层前馈神经网络实数编码的不合理性分析和改进[J].控制理论与应用,2001,18(2):281-284. |
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| 作者姓名： | 莫鸿强 罗 飞 侯小梅 毛宗源 |
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| 作者单位： | 华南理工大学自动控制工程系 |
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| 基金项目： | 国家自然科学基金! (6 986 40 0 1)资助项目 |
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| 摘 要： | 对遗传多层前馈神经网络常见的实数编码中不适合于优化权值大小、不利于交叉算子发挥作用等问题。进行了理论分析，提出了“最小模式”等概念，并据此对编码方式做了改进，通过一个实例的仿真结果表明改进后的编码方式具有较好的寻优效果。
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| 关 键 词： | 遗传算法 多层前馈神经网络 实数编码 不合理性 |
| 文章编号： | 1000-8152(2000)02-0281-04 |
| 收稿时间： | 1999/10/26 0:00:00 |
| 修稿时间： | 1999年10月26 |
An Analysis and Improvement of the Shortcomings of the Common Real Number Coding Scheme in Genetic Multilayer Feedforward Neural Networks |
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| MO Hong-qiang,LUO Fei,HOU Xiao-mei and MAO Zong-yuan.An Analysis and Improvement of the Shortcomings of the Common Real Number Coding Scheme in Genetic Multilayer Feedforward Neural Networks[J].Control Theory & Applications,2001,18(2):281-284. |
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| Authors: | MO Hong-qiang LUO Fei HOU Xiao-mei and MAO Zong-yuan |
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| Affiliation: | Department of Automatic Control Engineering, South China University of Technology, Guangzhou,510640,P.R.China;Department of Automatic Control Engineering, South China University of Technology, Guangzhou,510640,P.R.China;Department of Automatic Control Engineering, South China University of Technology, Guangzhou,510640,P.R.China;Department of Automatic Control Engineering, South China University of Technology, Guangzhou,510640,P.R.China |
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| Abstract: | This paper theoretically analyses the problems in the common real number coding scheme in genetic multilayer feedforward neural networks, such as being unsuitable for the optimization of the weights, influencing the function of crossing operators, and so on. A concept named as “minimal schema” is proposed, based on which the coding scheme is improved. The simulation results of an example show that the improving coding is effective in optimization. |
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| Keywords: | genetic algorithms multilayer feedforward neural networks coding scheme schema |
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