Hybrid optimization of information granulation-based fuzzy radial basis function neural networks

International Journal of Intelligent Computing and Cybernetics

Volumn 3, Issue 4, 2010, Pages 593-610

  Choi, Jeoung Nae ^a   Oh, Sung Kwun ^b   Kim, Hyun Ki ^b  

^a Research Institute KDT Co Ltd   (South Korea)

^b Suwon University   (South Korea)

Author keywords

Fuzzy logic; Neural nets; Polynomials; Programming and algorithm theory

Indexed keywords

DESIGN/METHODOLOGY/APPROACH; FUZZIFICATIONS; FUZZY C MEANS CLUSTERING; FUZZY MODELS; FUZZY RADIAL BASIS FUNCTION NEURAL NETWORKS; GLOBAL ERRORS; HIERARCHICAL FAIR COMPETITIONS; HIGH ORDER POLYNOMIAL; HYBRID OPTIMIZATION; HYBRID OPTIMIZATION ALGORITHM; INFORMATION GRANULATION; INPUT VARIABLES; INPUT-OUTPUT RELATIONS; LOCAL ERROR; NEURAL NET; NONLINEAR FUNCTION APPROXIMATION; OPTIMIZATION METHOD; OPTIMIZATION METHODOLOGY; PARALLEL GENETIC ALGORITHMS; PARAMETRIC OPTIMIZATION; PERFORMANCE INDICES; POLYNOMIAL COEFFICIENTS; PROGRAMMING AND ALGORITHM THEORY; SELECTION ALGORITHM; SPECIFIC SUBSET; SUB-SPACES; TIME-SERIES DATA; WEIGHTED LEAST SQUARES;

ALGORITHMS; ATTITUDE CONTROL; ELECTRIC NETWORK PARAMETERS; FUZZY LOGIC; FUZZY RULES; FUZZY SYSTEMS; GRANULATION; MEMBERSHIP FUNCTIONS; OPTIMIZATION; POLYNOMIALS; RADIAL BASIS FUNCTION NETWORKS;

FUZZY NEURAL NETWORKS;

EID: 78649789083     PISSN: 1756378X     EISSN: 17563798     Source Type: Journal    
DOI: 10.1108/17563781011094188     Document Type: Article

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