Improved pruning strategy for radial basis function networks with dynamic decay adjustment

Neurocomputing

Volumn 69, Issue 13-15, 2006, Pages 1728-1732

  Ricci, Elisa ^a   Perfetti, Renzo ^a  

^a UNIVERSITY OF PERUGIA   (Italy)

Author keywords

Classification; Dynamic decay adjustment; Pruning; RBF network

Indexed keywords

ALGORITHMS; DATA REDUCTION; LEARNING SYSTEMS; REDUNDANCY;

DYNAMIC DECAY ADJUSTMENT; PRUNING;

RADIAL BASIS FUNCTION NETWORKS;

ADJUSTMENT; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; COGNITION; CONTROLLED STUDY; DATA ANALYSIS; DYNAMICS; EXPERIMENTAL DESIGN; INTERMETHOD COMPARISON; LEARNING; MATHEMATICAL COMPUTING; METHODOLOGY; PRIORITY JOURNAL; STATISTICAL ANALYSIS; TASK PERFORMANCE;

EID: 33745217837     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.01.004     Document Type: Article

References (7)

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