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- W2392427827 abstract "The rough neural network model based on fuzzy rough model (FRM),FRM_RNN_M,is addressed.By means of adaptive Ganstafason Kessel (G-K) algorithm,fuzzy partition can be implemented in the input-output product space.Based on the search of cluster number and feature reduction,optimized FRM can be extracted and rough neural network model can be constructed after integrating the neural network technique.Ex- periment results indicate that FRM_RNN_M is superior to con- ventional Bayesian and LVQ methods.Moreover,it has a better synthesis decision-making ability than the single FRM.Com- pared with conventional rough logic neural network (RLNN), the neural network based on FRM_RNN_M has superiorities in size of structure,convergence speed,and generalization ability." @default.
- W2392427827 created "2016-06-24" @default.
- W2392427827 creator A5061444433 @default.
- W2392427827 date "2008-01-01" @default.
- W2392427827 modified "2023-09-23" @default.
- W2392427827 title "Fuzzy Rough Model Based Rough Neural Network Modeling" @default.
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- W2392427827 hasPublicationYear "2008" @default.
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