| 遗传算法在BP网络权值学习中的应用 |
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| 引用本文： | 王智平,刘在德,高成秀,路阳. 遗传算法在BP网络权值学习中的应用[J]. 兰州理工大学学报, 2001, 27(2): 20-22 |
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| 作者姓名： | 王智平 刘在德 高成秀 路阳 |
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| 作者单位： | 1. 甘肃工业大学材料科学与工程学院,
2. 兰州建筑通用机械厂, |
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| 摘 要： | 针对BP算法学习神经网络权值收敛速度慢、易陷入局部最优等缺点 ,采用遗传算法学习BP网络的权值 ;并给出了“异或”(XOR)问题的仿真示例 ,通过比较 ,发现遗传算法不会陷入局部最优 ,有效地改善了收敛速度
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| 关 键 词： | 遗传算法 神经网络 BP算法 权值 |
| 文章编号： | 1000-5889（2001）02-0020-03 |
| 修稿时间： | 2000-08-23 |
Application of genetic algorithm to weights learning in BP network |
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| WANG Zhi ping ,LIU Zai de ,GAO Cheng xiu ,LU Yang. Application of genetic algorithm to weights learning in BP network[J]. Journal of Lanzhou University of Technology, 2001, 27(2): 20-22 |
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| Authors: | WANG Zhi ping LIU Zai de GAO Cheng xiu LU Yang |
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| Affiliation: | WANG Zhi ping 1,LIU Zai de 1,GAO Cheng xiu 2,LU Yang 1 |
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| Abstract: | Aimed at the shortcoming of back propagation algorithm such as slow convergence speed of the weights during learning process, easy to be trapped into local optimum, etc, a genetic algorithm is adopted to learn the weights in BP neural network and, moreover, a simulation illustration of "XOR" problem is given. It is found by comparison that genetic algorithm can avoid the trap of local optimum and effectively improve the convergence speed. |
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| Keywords: | genetic algorithm neural network BP algorithm weight |
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