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- W2391291280 abstract "Approximation effects got by the profit and loss modified smoothing method are still very poor,through parameter optimization by controlpoints and the minimum of the objective function,a controlpoints optimization smoothing algorithm is outlined,the parameter got bye the algorithm substitute model,prediction accuracy is improved.The example express the algorithm is simple and easy,through An analysis of the relative errors, predicted value got bye controlpoints optimization smoothing algorithm is better than that of Neural network model,PPAR and Wavelet network model.It provides a better analysis method for studying smoothing method." @default.
- W2391291280 created "2016-06-24" @default.
- W2391291280 creator A5064890065 @default.
- W2391291280 date "2011-01-01" @default.
- W2391291280 modified "2023-09-26" @default.
- W2391291280 title "Controlpoints Optimization Smoothing Algorithm and Its Application in Predicting Runoff of Yangtze River" @default.
- W2391291280 hasPublicationYear "2011" @default.
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