| 改进RBF神经网络在降水量预测中的应用 |
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| 引用本文： | 吴群,陈晓辉,李东普,赵琴.改进RBF神经网络在降水量预测中的应用[J].信阳师范学院学报(自然科学版),2011,24(2):268-271. |
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| 作者姓名： | 吴群 陈晓辉 李东普 赵琴 |
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| 作者单位： | 1. 桂林理工大学信息科学与工程学院,广西桂林,541004
2. 河南省信阳市防汛通讯总站,河南信阳,464000 |
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| 基金项目： | 广西研究生创新计划资助项目 |
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| 摘 要： | 采用遗传算法对RBF网络的隐层节点中心值和宽度进行优化,用梯度下降法求出权值.将其应用于降水量预测中,取得较为满意的结果,证明该算法的有效性.
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| 关 键 词： | RBF网络 遗传算法 预测 |
Application of Improved RBF Neural Network in Precipitation Forecast |
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| WU Qun,CHEN Xiao-hui,LI Dong-pu,ZHAO Qin.Application of Improved RBF Neural Network in Precipitation Forecast[J].Journal of Xinyang Teachers College(Natural Science Edition),2011,24(2):268-271. |
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| Authors: | WU Qun CHEN Xiao-hui LI Dong-pu ZHAO Qin |
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| Institution: | WU Qun 1,CHEN Xiao-hui1,LI Dong-pu1,ZHAO Qin2(1.School of Information Science and Engineering,Guilin University of Technoloy,Guilin 541004,China,2.Xinyang Flood Control Communication Agency,Xinyang 464000,China) |
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| Abstract: | By using genetic algorithm,the hidden nodes center value and width of RBF networks were optimized,and weights value was calculated by gradient descent method.Satisfactory results were obtained in application of rainfall forecast,which proved the effectiveness of this algorithm. |
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| Keywords: | RBF neural genetic algorithm predict |
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