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- W2377081982 abstract "In this paper a best modular neural network model is introduced.The defect of BP network is the problem of training speed and forgetting the sample feature learnt before,but BP network's generalization is well and the network's size is not very large.The defect of RBF network is generalization and the network's size is very large with increasing the input dimension,but its training speed is very fast and the approximation is very good.We construct the modular neural network model integrated with BP and RBF merits.In the simulation,the generalization,the training speed and the size behave better than the single network.This model is suitable for a lot of samples." @default.
- W2377081982 created "2016-06-24" @default.
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- W2377081982 date "2008-01-01" @default.
- W2377081982 modified "2023-09-23" @default.
- W2377081982 title "The Stack Predication Based on Comparability and Optimum of a Modular Neural Network" @default.
- W2377081982 hasPublicationYear "2008" @default.
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