| 用遗传算法优化神经网络权值 |
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| 引用本文： | 吴涛.用遗传算法优化神经网络权值[J].湛江师范学院学报,2007,28(3):120-122. |
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| 作者姓名： | 吴涛 |
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| 作者单位： | 湛江师范学院,信息科学与技术学院,广东,湛江,524048 |
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| 基金项目： | 湛江师范学院校科研和教改项目 |
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| 摘 要： | 神经网络模拟大脑的生理机制,通过大量简单神经元的互连,实现信息的智能自动化处理,但是神经网络权值与结构的设计往往依靠经验获得.遗传算法具有全局搜索问题解的特性,用遗传算法优化神经网络权值,为神经网络的设计和训练提供了新的途径。实验表明,该方法是可行的、有效的.
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| 关 键 词： | 遗传算法 神经网络 优化 |
| 文章编号： | 1006-4702（2007）03-0120-03 |
| 修稿时间： | 2006-12-12 |
Optimization of Weights in Neural Networks Based on Genetic Algorithm |
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| WU Tao.Optimization of Weights in Neural Networks Based on Genetic Algorithm[J].Journal of Zhanjiang Normal College,2007,28(3):120-122. |
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| Authors: | WU Tao |
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| Institution: | School of Information Science and Technology, Zhanjiang Normal College, Zhanjiang Guangdong 524048, China |
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| Abstract: | Neural networks simulate the physiological principle of brain,link each other with many simple nerve cells,and realize the processing of information automatically and intelligently.But the weights and the structure often obtain by experience.Genetic algorithm(GA) can solve the problem by global search.Optimization of weights in neural networks based on GA is a novel method.Experiments proved this method is feasible and effective. |
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| Keywords: | genetic algorithm(GA) neural networks optimization |
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