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- W2361211136 abstract "For solving the problem of pipe network simulation of water distribution system optimization and control, a kind of macroscopic state model based on modified support vector machine(SVM)was established. The nonlinear relation between node pressure head of the pipe network and water capacity and pressure of water supply pump station was deduced by SVM. After weight factor was introduced by analyzing the imbalance of training samples, the weight to sample errors of peak and valley values was properly increased in the objective function of structural risk minimization. Considering the problem of model parameter selection, the method for parameter selection was constituted for practical forecasting. Application results in Hangzhou City show that the modified SVM algorithm improves the simulation accuracy of node pressure at both peak and valley points, the relative error of 95% simulating node pressures is smaller than ±5%, and the mean absolute percent errors(MAPE)of 4 simulating node pressures are 095%, 099%, 186% and 206 respectively." @default.
- W2361211136 created "2016-06-24" @default.
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- W2361211136 date "2005-01-01" @default.
- W2361211136 modified "2023-09-25" @default.
- W2361211136 title "State model for water distribution network based on improved SVM" @default.
- W2361211136 hasPublicationYear "2005" @default.
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