| 基于改进遗传算法的BP神经网络及应用 |
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| 引用本文： | 何方国,齐欢.基于改进遗传算法的BP神经网络及应用[J].华中师范大学学报(自然科学版),2007,41(1):51-54. |
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| 作者姓名： | 何方国 齐欢 |
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| 作者单位： | 华中科技大学,控制科学与工程系,武汉,430074 |
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| 摘 要： | 结合遗传算法及神经网络各自的优点,利用改进遗传算法对BP神经网络的连接权进行优化,并提出了一种新的编码方式.通过与时间序列模型对比,基于改进遗传算法的BP模型效果更好.
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| 关 键 词： | 遗传算法 BP神经网络 时间序列 用电预测 Genetic algorithm BP neural network time series power consumption prediction 改进 遗传算法 神经网络 应用 application modified genetic algorithm based artificial neural network propagation experimental result improve generation ability accuracy forecasting coding method time combined |
| 文章编号： | 1000-1190（2007）01-0051-04 |
| 修稿时间： | 2006-05-10 |
Back propagation neural network based on modified genetic algorithm and its application |
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| HE Fangguo,Qi Huan.Back propagation neural network based on modified genetic algorithm and its application[J].Journal of Central China Normal University(Natural Sciences),2007,41(1):51-54. |
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| Authors: | HE Fangguo Qi Huan |
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| Institution: | Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074 |
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| Abstract: | This paper mainly studies the optimization of BP neural network by applying modified genetic algorithm, and proposes a combined GA-ANN algorithms by the merging of modified genetic algorithms (GA) and artificial neural network. (ANN). At the same time, a coding method is presented for genetic algorithms. The experimental result shows that the algorithm can improve network generation ability and accuracy for forecasting. |
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| Keywords: | Genetic algorithm BP neural network time series power consumption prediction |
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