| 流域年均含沙量的B-P网络预测模型及其效果检验 |
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| 引用本文： | 邓新民,李祚泳.流域年均含沙量的B-P网络预测模型及其效果检验[J].成都信息工程学院学报,1997(2). |
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| 作者姓名： | 邓新民 李祚泳 |
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| 作者单位： | 成都气象学院 |
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| 摘 要： | 应用误差反向传播算法的人工神经网络，建立了流域年均含沙量的预测模型。该模型用于某流域年均含沙量预测的拟合率达９０％以上，预留检验预报的准确率为７５％。
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| 关 键 词： | 人工神经网络 B－P算法 含沙量 预测 |
PREDICTION MODEL OF MEAN ANNUAL AMOUNT OF SEDIMENT IN A RIVER VALLEY USING B P NETWORKS |
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| Deng,Xinmin,Li,Zuoyong.PREDICTION MODEL OF MEAN ANNUAL AMOUNT OF SEDIMENT IN A RIVER VALLEY USING B P NETWORKS[J].Journal of Chengdu University of Information Technology,1997(2). |
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| Authors: | Deng Xinmin Li Zuoyong |
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| Institution: | Chengdu Institute of Meteorology |
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| Abstract: | A prediction model for the amount of sediment in a river valley is presented using B P artificial neural networks.The model is applied to the prediction of the mean annual amount of sediment in a river valley.The results show that the fitting precision and prediction precision are 90% and 75%,respectively. |
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| Keywords: | Artificial neural network B P algorithm Amount of sediment Prediction |
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