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- W2348944135 abstract "This paper presents a daily runoff forecasting method by using wavelet neural networks,the fuzzy C-means clustering analysis and the wavelet neural network.The historical runoff data are divided into four categories by using the fuzzy C-means clustering.The corresponding wavelet neural network is built,the parameters of model are optimized by genetic algorithm and the back-propagation algorithm.The daily mean runoff of reservoir in 2005 is forecasted under categories by the corresponding wavelet neural network.The forecasting result shows that the proposed method possesses the faster training speed and the greater forecasting accuracy." @default.
- W2348944135 created "2016-06-24" @default.
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- W2348944135 date "2008-01-01" @default.
- W2348944135 modified "2023-09-28" @default.
- W2348944135 title "Research on runoff forecasting of reservoir by using fuzzy clustering analysis and wavelet neural networks" @default.
- W2348944135 hasPublicationYear "2008" @default.
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