Global and local modelling in RBF networks

Neurocomputing

Volumn 74, Issue 16, 2011, Pages 2594-2602

  Herrera, L J ^a   Pomares, H ^a   Rojas, I ^a   Guillen A ^a   Rubio, G ^a   Urquiza, J ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

Clustering algorithm; Function approximation; Local global modelling; RBF networks

Indexed keywords

APPROXIMATION CAPABILITIES; FUNCTION APPROXIMATION; GLOBAL MODELS; GLOBAL-LOCAL; INPUT SPACE; LINEAR COMBINATIONS; LOCAL APPROXIMATION; LOCAL SEARCH TECHNIQUES; LOCAL-GLOBAL MODELLING; NETWORK OPTIMIZATION; REAL APPLICATIONS; SPECIFIC AREAS; SUBMODELS;

CLUSTERING ALGORITHMS; COMPUTER SIMULATION; LEARNING ALGORITHMS; OPTIMIZATION; RADIAL BASIS FUNCTION NETWORKS;

LOCAL AREA NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; LINEAR SYSTEM; MACHINE LEARNING; PRIORITY JOURNAL; PROCESS OPTIMIZATION; RADIAL BASIS FUNCTION NETWORK; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 80051582561     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.03.027     Document Type: Article

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