| 水文时间序列预测的径向基函数网络方法 |
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| 引用本文： | 胡铁松,郭元裕,丁晶. 水文时间序列预测的径向基函数网络方法[J]. 武汉大学学报(工学版), 1996, 0(6) |
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| 作者姓名： | 胡铁松 郭元裕 丁晶 |
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| 作者单位： | 四川联合大学水利工程系 |
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| 基金项目： | 国家自然科学基金,中国博士后基金 |
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| 摘 要： | 提出了用多层径向基函数网络（ＭＲＢＦＮ）进行水文时间序列预测的神经网络方法．与通常水文时间序列预测的ＡＲ、ＡＲＭＡ、ＡＲＩＭＡ等模型相比，该方法有较强的非线性处理功能；与多层感知器相比，该方法具有训练时间短和全局收敛性的优点．
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| 关 键 词： | 水文预报；径向基函数网络；泛化性能 |
Hydrological Time Series Prediction Using Racial Basis Function Network |
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| Hu Tiesong, Guo Yuanyu, Din Jin. Hydrological Time Series Prediction Using Racial Basis Function Network[J]. Engineering Journal of Wuhan University, 1996, 0(6) |
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| Authors: | Hu Tiesong Guo Yuanyu Din Jin |
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| Abstract: | In this paper, a new approach based on radial baSis function network is probo forhydIDlogical time series prediction. Compared with the common used models such as AR, ARMA,ARIMA. it's superior in dealing with the nonlinearity, and compared with the multilay6rPerceptron, it has the advantage of global convergence and can considerably decrease computationtabs it has been demonstrated by example that the present approach is a USeful 'tool forhydrological modelling and prediction. |
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| Keywords: | hydrological prediction radial basis function network generalization performance |
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