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Volumn , Issue , 2009, Pages 208-211

A new RBF neural network with GA-based fuzzy C-means clustering algorithm for SINS fault diagnosis

Author keywords

Fault diagnosis; Fuzzy c means clustering algorithm; Genetic algorithm; Radial basis function neural network; Strapdown inertial navigation system

Indexed keywords

CLUSTER CENTERS; DIAGNOSTIC ACCURACY; FAULT DIAGNOSIS; FUZZY C-MEANS ALGORITHMS; FUZZY C-MEANS CLUSTERING ALGORITHM; FUZZY C-MEANS CLUSTERING ALGORITHMS; LOCAL OPTIMA; RADIAL BASIS FUNCTION NEURAL NETWORK; RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF NEURAL NETWORK; SECOND ORDERS; STRAP-DOWN INERTIAL NAVIGATION SYSTEMS; STRAPDOWN INERTIAL NAVIGATION SYSTEM;

EID: 70449377046     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCDC.2009.5195114     Document Type: Conference Paper
Times cited : (9)

References (9)
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  • 5
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    • Extended fuzzy c-means and genetic algorithms to optimize power flow management in hybrid electric vehicles
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  • 6
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    • RBF network identifier with optimal selection cluster algorithm and its application
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    • (2003) Control and Decision , vol.18 , Issue.2 , pp. 233-236
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  • 7
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  • 8
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    • Tienan Liu, Liguo Wang, Yanwei Liu, Aihua Xie, Zhide Liu, Convergence analysis of second order back-propagation learning algorithm for neural network, Journal of Daqing Petroleum Institute, 25, No. 4, 38-41, 2001.
    • Tienan Liu, Liguo Wang, Yanwei Liu, Aihua Xie, Zhide Liu, Convergence analysis of second order back-propagation learning algorithm for neural network, Journal of Daqing Petroleum Institute, Vol. 25, No. 4, 38-41, 2001.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.