| 基于遗传算法的神经网络结构设计 |
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| 引用本文： | 陈伟,段永刚,蒋红.基于遗传算法的神经网络结构设计[J].西南石油大学学报（社会科学版）,2008,20(1):96-98. |
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| 作者姓名： | 陈伟 段永刚 蒋红 |
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| 作者单位： | 西南石油学院计算机系,四川 南充 637001 |
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| 摘 要： | 神经网络具有广泛的工程应用前景,但在实际应用中还存在一些困难,如何优化网络结构目前尚无理论指导,应用遗传算法与误差反向传播算法相结合的混合学习过程研究网络结构设计,实例表明通过遗传算法优化网络结构,能够有效地提高网络性能。
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| 关 键 词： | 人工智能 神经网络 结构设计 |
| 收稿时间： | 1996-11-22 |
Neural Network Structure Design Based on Genetic Algorithms |
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| Chen Wei Duan Yonggang Jang Hong.Neural Network Structure Design Based on Genetic Algorithms[J].Journal of Southwest Petroleum University(Social Sciences Edition),2008,20(1):96-98. |
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| Authors: | Chen Wei Duan Yonggang Jang Hong |
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| Institution: | Dept. of Computer Science, SWPI, Sichuan, 637001 |
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| Abstract: | Artificial neural network (ANN) can be widely used in engimeering domain, but some difficulties are existed in practical application.So far there is no theory about how to optimize network stucture. In this paper a hybrid learning procedure that combines genetic algorithm (GA) and back-propagation errors algorithms is taken to research network structure designing. Applications show that optimizing the network structure by GA can improve efficiently the performance of ANN. |
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| Keywords: | Artificial intelligence Nerve network Structural design |
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