| 基于差分进化的BP网络学习算法 |
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| 引用本文： | 贺兴时,余兵,韩琳.基于差分进化的BP网络学习算法[J].纺织高校基础科学学报,2006,19(2):178-181. |
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| 作者姓名： | 贺兴时 余兵 韩琳 |
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| 作者单位： | 西安工程科技学院,理学院,陕西,西安,710048 |
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| 摘 要： | 提出了一种基于差分进化的BP网络学习算法,该算法是一种全局随机优化算法.利用差分进化算法的全局寻优能力,可以很好的训练BP网络的权值和阈值.将所提出的算法与BP算法作对比实验,结果表明,所提出的算法相对于BP算法在分类准确度上有较大的提高,而且具有良好的收敛性和泛化能力.
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| 关 键 词： | 神经网络 差分进化 BP算法 |
| 文章编号： | 1006-8341（2006）02-0178-04 |
| 收稿时间： | 2006-02-20 |
| 修稿时间： | 2006年2月20日 |
A BP neural network learning algorithm based on differential evolution |
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| HE Xing-shi,YU Bing,HAN Lin.A BP neural network learning algorithm based on differential evolution[J].Basic Sciences Journal of Textile Universities,2006,19(2):178-181. |
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| Authors: | HE Xing-shi YU Bing HAN Lin |
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| Abstract: | A BP neural networks learning algorithm based on differential evolution is proposed in this paper and the algorithm is a stochastic global optimization technique.Using the ability of global optimization,the algorithm is the one best in training the weight values and threshold values of BP networks.Comparing experiments between the proposed algorithm and BP algorithm,the results show that the proposed algorithm does not only superior to BP algorithm in classification precision,bus also has fast convergence speed and generalization ability. |
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| Keywords: | neural network differential evolution BP algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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