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• W2378434265 abstract "A new approach to improve the generalization ability of neural network is presented based on an angle of fuzzy theory.This approach is put into effect through shrinking or magnifying the input vector,thereby reducing the difference between training set and testing set.It is called“Shrinking-Magnifying Approach”(SMA).At the same time in this paper,a new algorithm—α-algorithm is presented in order to find out the appropriate shrinking factor α and ob- tain better generalization ability of neural network.Quite a few simulation experiments serve to study about SMA andα- algorithm.The results of experiments and analyses show that the new approach is not only simpler and easier,but also is applicable to many neural networks and many classification problems." @default.
• W2378434265 created "2016-06-24" @default.
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• W2378434265 date "2006-01-01" @default.
• W2378434265 modified "2023-09-23" @default.
• W2378434265 title "A New Approach to Improve the Generalization Ability of Neural Network" @default.
• W2378434265 hasPublicationYear "2006" @default.
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