Kernel width optimization for faulty RBF neural networks with multi-node open fault

Neural Processing Letters

Volumn 32, Issue 1, 2010, Pages 97-107

  Wang, Hong Jiang ^a,b,d   Leung, Chi Sing ^b   Sum, Pui Fai ^c   Wei, Gang ^d  

^a SOUTH CHINA NORMAL UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

^d SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Faulty neural networks; Kernel width; Mean prediction error; Multi node open fault; Radial basis function

Indexed keywords

CONVENTIONAL METHODS; KERNEL PARAMETER; MULTI-NODE OPEN FAULT; OPEN FAULTS; PREDICTION ERRORS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTIONS; RBF NEURAL NETWORK; REAL APPLICATIONS; SELECTION METHODS; SIMULATION RESULT; TEST SETS;

ATTITUDE CONTROL; FORECASTING; OPTIMIZATION; RADIAL BASIS FUNCTION NETWORKS; STATISTICAL TESTS;

NEURAL NETWORKS;

EID: 77955307227     PISSN: 13704621     EISSN: 1573773X     Source Type: Journal    
DOI: 10.1007/s11063-010-9145-x     Document Type: Article

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