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- W2360851880 abstract "Due to the fact that the characteristics of the sample are not optimized in Fuzzy C-mean (FCM) cluster algorithm,commonly used in the gate network of the general Modular Fuzzy Neural Network (MFNN),Fuzzy Kernel-clustering Algorithm (FKCA) instead of FCM was used to propose a fkca-MFNN model.Further,computing predictand and predictors by using dynamic decreasing FAR algorithm,expression of chebyshev polynomial and Empirical Orthogonal Function,the general fcm-MFNN and fkca-MFNN rainstorm prediction models were set up.Experiments conducted with rainstorm as the predictive target by the two prediction models show that,under the same conditions,the improved model has higher TS valuation of rainstorm forecast compared to the fcm-MFNN model." @default.
- W2360851880 created "2016-06-24" @default.
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- W2360851880 date "2009-01-01" @default.
- W2360851880 modified "2023-09-25" @default.
- W2360851880 title "New Nonlinear Prediction Model for Rainstorm Disaster" @default.
- W2360851880 hasPublicationYear "2009" @default.
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