APPLICATION OF FUZZY NEURAL NETWORKS TO THE PREDICTION OF TIME SERIES
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Abstract
An improved learning algorithm is proposed,which integrates fuzzy cluster with gradient algorithm to train fuzzy neural networks.The simulated results show that fuzzy neural networks can be successfully applied to the prediction of time series and that both training speed and simulated precision of fuzzy neural networks are better than those of traditional multilayer BP networks.
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