| GA优化的BPNN模型在分布式降雨量插值中的应用 |
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| 引用本文： | 胡广义,张秋文,张勇传.GA优化的BPNN模型在分布式降雨量插值中的应用[J].武汉大学学报(工学版),2009,42(4). |
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| 作者姓名： | 胡广义 张秋文 张勇传 |
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| 作者单位： | 华中科技大学水电与数字化工程学院,湖北武汉,430074 |
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| 基金项目： | 国家自然科学基金，湖北省杰出青年科学基金，教育部新世纪优秀人才支持计划，国家重点基础研究发展规划(973计划)，教育部高等学校博士学科点专项科研基金 |
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| 摘 要： | 针对BP神经网络初始连接权值和阈值确定的随机性,以及网络收敛速度慢和容易陷入局部极小的问题,采用遗传算法优化BP神经网络的连接权值和阈值,构建混合GA-BPNN网络模型.利用建立的GA-BPNN模型,对湖北省宜昌地区降雨量进行插值估算,试验结果表明,单纯采用BP神经网络进行降雨量的插值估算,其归一化的平均相对误差为27.68%,而采用遗传算法优化后的BP神经网络进行降雨量插值估算,其归一化的平均相对误差为18.93%,估算的精度以及网络的稳定性和容错性都要好于单纯的BP神经网络模型.
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| 关 键 词： | 遗传算法 BP神经网络 插值 降雨量 分布式 |
Application of BPNN model optimized by GA to distributed rainfall interpolation |
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| HU Guangyi,ZHANG Qiuwen,ZHANG Yongchuan.Application of BPNN model optimized by GA to distributed rainfall interpolation[J].Engineering Journal of Wuhan University,2009,42(4). |
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| Authors: | HU Guangyi ZHANG Qiuwen ZHANG Yongchuan |
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| Abstract: | The genetic algorithm (GA) is integrated with back propagation algorithm (BPA); a hybrid GABP algorithm is applied to study distribution rainfall interpolation.And there is some inherent limitation that the back propagation neural network (BPNN) is easily to converge locally and initial connection weight and threshold value is set by randomness; so that GA is mainly used to optimize the initial connection weight and threshold value of BPNN.Finally,GA-BPNN model is used to estimate the rainfall in Yichang,Hubei province; the testing result shows that the estimation precision and the robustness of GABP model are improved more greatly than using classical BPNN to rainfall interpolation.The average relative error (ARE) of BPNN is 27.68%,whereas the ARE of GA-BPNN model is 18.93%. |
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| Keywords: | genetic algorithm back propagation neural network interpolation rainfall distributed |
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