| 实数编码遗传算法的前向神经网络优化设计 |
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| 引用本文： | 叶德谦,康建红,杨樱.实数编码遗传算法的前向神经网络优化设计[J].计算机工程,2005,31(16):163-164,175. |
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| 作者姓名： | 叶德谦 康建红 杨樱 |
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| 作者单位： | 燕山大学中德信息技术合作研究所,秦皇岛,066004 |
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| 基金项目： | 教育部留学回国人员科研基金资助项目（2001498） |
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| 摘 要： | 提出一种综合控制策略的实数编码遗传算法，用该算法实现对前向网络结构及权值的同时优化设计。用非线性函数的逼近问题作仿真实验。结果表明，该算法能快速有效地确定网络结构及权值。
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| 关 键 词： | 实数编码遗传算法 综合控制策略 前向神经网络 同时优化设计 |
| 文章编号： | 1000-3428（2005）16-0163-02 |
| 收稿时间： | 2004-06-08 |
| 修稿时间： | 2004-06-08 |
Optimization of Feedforward Neural Network with Real-coded Genetic Algorithm |
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| Ye Deqian,Kang Jianhong,YANG Ying.Optimization of Feedforward Neural Network with Real-coded Genetic Algorithm[J].Computer Engineering,2005,31(16):163-164,175. |
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| Authors: | Ye Deqian Kang Jianhong YANG Ying |
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| Abstract: | A real-coded genetic algorithms with synthetic control strategy is presented to optimize simultaneously the structure and weights for feedforward neural networks. Experimented with approximation of nonlinear function, the result shows that the proposed algorithm can acquire simultaneously topology and weights rapidly and effectually. |
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| Keywords: | Real-coded genetic algorithms Synthetic control strategy Feedforward neural networks Simultaneous optimization |
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