| 基于遗传神经网络的农村用电量需求预测 |
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| 引用本文： | 李菲,王福林,吴昌友.基于遗传神经网络的农村用电量需求预测[J].东北农业大学学报,2009,40(2). |
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| 作者姓名： | 李菲 王福林 吴昌友 |
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| 作者单位： | 东北农业大学工程学院,哈尔滨,150030 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 文章对标准BP神经网络的基本原理进行了简单的概述,并提出标准BP神经网络存在的缺点和不足,进而提出了用实数遗传算法优化神经网络的权重,解决了标准BP神经网络在训练过程中的缺点,并将遗传神经网络应用到我国农村用电量预测中,取得了良好的效果。
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| 关 键 词： | 神经网络 遗传算法 农村用电量 |
Rural electricity consumption demand forecast of China based on genetic neural network |
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| LI Fei,WANG Fulin,WU Changyou.Rural electricity consumption demand forecast of China based on genetic neural network[J].Journal of Northeast Agricultural University,2009,40(2). |
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| Authors: | LI Fei WANG Fulin WU Changyou |
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| Institution: | LI Fei,WANG Fulin,WU Changyou(Engineering College,Northeast Agricultural University,Harbin 150030,China) |
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| Abstract: | This paper simply summarized the basic theory of standard BP neural network,and put forward existent defects and deficiencies of standard BP neural network,and then advanced how to resolve defects of standard BP neural network in training process using real number genetic algorithm to optimize weightiness of neural network,and applied genetic neural network to rural electricity consumption forecast that obtained finer effect. |
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| Keywords: | neural network genetic algorithm rural electricity consumption |
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