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Volumn 69, Issue 16-18, 2006, Pages 2456-2460

On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment

Author keywords

Dynamic decay adjustment; Fuzzy ARTMAP; Pruning; Radial basis function network

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; FUZZY SETS; PATTERN RECOGNITION; RADIAL BASIS FUNCTION NETWORKS;

EID: 33748597690     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.01.027     Document Type: Article
Times cited : (7)

References (11)
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  • 2
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    • Carpenter, G.A.1    Grossberg, S.2
  • 4
    • 0026923589 scopus 로고
    • Fuzzy ARTMAP: a neural network architecture for incremental learning of analog multidimensional maps
    • Carpenter G.A., Grossberg S., Markuzon N., Reynolds J., and Rosen D. Fuzzy ARTMAP: a neural network architecture for incremental learning of analog multidimensional maps. IEEE Trans. Neural Networks 3 (1992) 698-713
    • (1992) IEEE Trans. Neural Networks , vol.3 , pp. 698-713
    • Carpenter, G.A.1    Grossberg, S.2    Markuzon, N.3    Reynolds, J.4    Rosen, D.5
  • 5
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    • A generalized growing and pruning rbf (GGAP-RBF) neural network for function approximation
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    • Huang, G.-B.1    Saratchandran, P.2    Sundararajan, N.3
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    • Reducing the number of neurons in radial basis function networks with dynamic decay adjustment
    • Paetz J. Reducing the number of neurons in radial basis function networks with dynamic decay adjustment. Neurocomputing 62 (2004) 79-91
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    • Probabilistic neural networks
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.