| 改进的遗传算法在神经网络结构优化中的应用 |
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| 引用本文： | 吴永明,吴晟.改进的遗传算法在神经网络结构优化中的应用[J].微型机与应用,2011,30(3):79-81,85. |
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| 作者姓名： | 吴永明 吴晟 |
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| 作者单位： | 昆明理工大学信息工程与自动化学院,云南昆明,650051 |
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| 摘 要： | 为了解决人工神经网络隐层节点数目难以确定的问题,针对三层BP神经网络提出了一种最大上限隐层节点数模型,并用改进的遗传算法对其优化。最后,将优化的神经网络对语音特征信号进行分类。仿真结果表明优化后的神经网络具有很好的泛化能力,验证了该方法的有效性。
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| 关 键 词： | 遗传算法 神经网络 结构优化 |
Application of structural optimization of artificial neural network based on improved genetic algorithm |
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| Wu Yongming,Wu Sheng.Application of structural optimization of artificial neural network based on improved genetic algorithm[J].Microcomputer & its Applications,2011,30(3):79-81,85. |
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| Authors: | Wu Yongming Wu Sheng |
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| Affiliation: | Wu Yongming,Wu Sheng (School of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650051,China) |
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| Abstract: | It is difficult to determine the number of hidden layer of BP artificial neural network.In order to solve the problem,a maximum number of hidden nodes model is proposed in this paper for three layers BP neural network,and optimized by using improved genetic algorithm.Finally,The voice signature is classified by using optimized BP neural network.The results show the effectiveness of the algorithm. |
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| Keywords: | genetic algorithm neural network structural optimization |
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