| 基于粒子群优化的BP网络学习算法 |
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| 引用本文： | 王岁花,冯乃勤,李爱国.基于粒子群优化的BP网络学习算法[J].计算机应用与软件,2003,20(8):74-76. |
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| 作者姓名： | 王岁花 冯乃勤 李爱国 |
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| 作者单位： | 1. 河南师范大学计算机科学系,新乡,453002
2. 西安科技学院计算机科学系,西安,710054 |
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| 摘 要： | 本文提出一种新颖的基于粒子群优化的BP网络学习算法，该算法是一种全局随机优化算法。用Iris分类问题，将所提出的算法与BP算法作了对比实验。实验结果表明：所提出的算法性能优于BP算法，而且具有良好的收敛性。
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| 关 键 词： | 人工神经网络 BP网络 学习算法 粒子群优化 全局随机优化算法 |
A BP NETWORKS LEARNING ALGORITHM BASED ON PSO |
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| Wang Suihua,Feng Naiqin,Li Aiguo.A BP NETWORKS LEARNING ALGORITHM BASED ON PSO[J].Computer Applications and Software,2003,20(8):74-76. |
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| Authors: | Wang Suihua Feng Naiqin Li Aiguo |
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| Affiliation: | Wang Suihua 1 Feng Naiqin 1 Li Aiguo 2 1 |
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| Abstract: | A novel BP neural networks learning algorithm based on particle swarm optimizers (PSO)is proposed in this paper.A stochastic global optimization technique is used in proposed algorithm.Comparing experiments that classify Iris problem are made between proposed algorithm and BP algorithm.The experiment results show that proposed algorithm does not only superior to BP algorithm,bus also has fast congruence speed. |
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| Keywords: | Neural network Particle swarm optimizer BP algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
