Improving constructive training of RBF networks through selective pruning and model selection

Neurocomputing

Volumn 64, Issue 1-4 SPEC. ISS., 2005, Pages 537-541

  Oliveira, Adriano L I ^a,b   Melo, Bruno J M ^a   Meira, Silvio R L ^b  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

^b FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

Author keywords

Classification; Model complexity; Neural network; RBF network

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DATABASE SYSTEMS; MATHEMATICAL MODELS;

CONSTRUCTIVE TRAINING; DATASETS; DDA ALGORITHMS; DDA MODEL SELECTION;

RADIAL BASIS FUNCTION NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOINFORMATICS; COMPUTER NETWORK; COMPUTER SIMULATION; COMPUTER SYSTEM; DATA BASE; INTERMETHOD COMPARISON; MATHEMATICAL ANALYSIS; METHODOLOGY; NERVE CELL NETWORK; NORMAL DISTRIBUTION; PRIORITY JOURNAL; VALIDATION PROCESS;

EID: 15844413526     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2004.11.027     Document Type: Article

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