Fault Diagnosis of Distribution System Based on Distributed Chaotic Fuzzy RBF Neural Networks

Autor:	Wan-qing Gao, Jian-liang Meng, Wei-hua Niu, Hui-jing Pang
Rok vydání:	2008
Předmět:	ComputingMethodologies_PATTERNRECOGNITION Neuro-fuzzy Artificial neural network business.industry Generalization Computer science Feature extraction Convergence (routing) Chaotic Radial basis function Artificial intelligence business Fuzzy logic
Zdroj:	IIH-MSP
DOI:	10.1109/iih-msp.2008.279
Popis:	Distributed chaotic fuzzy RBF neural networks is described in the paper against the problems of slow convergence and easy trapping into local minimum of BP neural networks. For introducing chaotic noise to choose the initial value of the network, it can avoid the local minimum, while the fuzzy character improves the capability of generalization. The simulation results show that the suggested approach for RBF NN works successfully and effectively in FSE.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9b73a04da196acab4234e722aeacd5c9 https://doi.org/10.1109/iih-msp.2008.279 Zobrazit plný text záznamu