Study on EFC-RBF neural network algorithm and fault pattern recognition
NI Yuan-ping · Yunnan Daxue xuebao. Shehui kexue ban · 2009
Based on analyzing radial basis function(RBF)neural network,using the entropy of fuzzy clustering(EFC)algorithm,we determined its hidden centric vector.Then the EFC-RBF neural network algorithm was formed and used to transformer fault pattern recognition.Simulation results showed that EFC-RBF neural network algorithm has better performance than the back-propagation neural network in training,and the actual fault data can prove that this algorithm is applicable to fault pattern recognition.