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Volumn 18, Issue 1, 2003, Pages 17-27

Adaptive radial basis decomposition by learning vector quantization

Author keywords

Decomposition; Function approximation; Mobile robot; RBF neural network; Reinforcement learning

Indexed keywords

APPROXIMATION THEORY; FUNCTION EVALUATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; MOBILE ROBOTS; VECTOR QUANTIZATION;

EID: 17144471921     PISSN: 13704621     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1026242620248     Document Type: Article
Times cited : (4)

References (12)
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    • Anderson, C.1
  • 2
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    • Princeton University Press. Princeton, NJ
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  • 5
    • 0004199140 scopus 로고
    • TR 646. Rochester, Addison-Wesley Publishing Company, New York, USA
    • Hecht-Nielsen, R.: Neurocomputing, TR 646. Rochester, Addison-Wesley Publishing Company, New York, USA, 1990.
    • (1990) Neurocomputing
    • Hecht-Nielsen, R.1
  • 8
    • 0000672424 scopus 로고
    • Fast learning in networks of locally tuned processing units
    • Moody, J. and Darken, C.: Fast learning in networks of locally tuned processing units, Neural Computation, 1 (1989), 281-204.
    • (1989) Neural Computation , vol.1 , pp. 281-294
    • Moody, J.1    Darken, C.2
  • 9
    • 0001071040 scopus 로고
    • A resource-allocating network for function interpolation
    • Platt, J.: A resource-allocating network for function interpolation, Neural Computation, 3(2) (1992), 213-225.
    • (1992) Neural Computation , vol.3 , Issue.2 , pp. 213-225
    • Platt, J.1
  • 10
    • 0033213823 scopus 로고    scopus 로고
    • Adaptive internal state space construction method for reinforcement learning of a real-world agent
    • Samejima, K. and Omori, T.: Adaptive internal state space construction method for reinforcement learning of a real-world agent. Neural Networks, 12(7-8) (1999), 1143-1155.
    • (1999) Neural Networks , vol.12 , Issue.7-8 , pp. 1143-1155
    • Samejima, K.1    Omori, T.2
  • 12
    • 34249833101 scopus 로고
    • Technical note: Q-learning
    • Watkins, J. and Dayan, P.: Technical Note: Q-learning, Machine Learning, 8 (1992), 279-292.
    • (1992) Machine Learning , vol.8 , pp. 279-292
    • Watkins, J.1    Dayan, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.