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Volumn 2005, Issue , 2005, Pages 308-315

Fuzzy Q-learning with the modified fuzzy ART neural network

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY SETS; LEARNING SYSTEMS; NUMERICAL METHODS; PARAMETER ESTIMATION;

EID: 33846296641     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IAT.2005.78     Document Type: Conference Paper
Times cited : (8)

References (15)
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  • 3
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  • 4
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    • An efficient mapping of fuzzy ART onto a neural architecture
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    • (1997) Neural Networks , vol.10 , Issue.3 , pp. 409-411
    • Blume, M.1    Esener, S.C.2
  • 5
    • 0026923589 scopus 로고
    • Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps
    • G. A. Carpenter, S. Grossberg, M. Markuzon, J. H. Reynolds, and D. B. Rosen. Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps. IEEE Trans. on Neural Networks, 3(5):698-713, 1992.
    • (1992) IEEE Trans. on Neural Networks , vol.3 , Issue.5 , pp. 698-713
    • Carpenter, G.A.1    Grossberg, S.2    Markuzon, M.3    Reynolds, J.H.4    Rosen, D.B.5
  • 6
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    • Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system
    • G. A. Carpenter, S. Grossberg, and D. B. Rosen. Fuzzy ART: fast stable learning and categorization of analog patterns by an adaptive resonance system. Neural Networks, 4(6):759-771, 1991.
    • (1991) Neural Networks , vol.4 , Issue.6 , pp. 759-771
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  • 8
    • 11144271785 scopus 로고    scopus 로고
    • An incremental state-space construction based on the notion of contradiction for reinforcement learning
    • 469-476, in Japanese
    • H. Handa, A. Ninomiya, T. Horiuchi, T. Konichi, and M. Baba. An incremental state-space construction based on the notion of contradiction for reinforcement learning. SCIE Trans., 38(5):469-476, 2002. (in Japanese).
    • (2002) SCIE Trans , vol.38 , Issue.5
    • Handa, H.1    Ninomiya, A.2    Horiuchi, T.3    Konichi, T.4    Baba, M.5
  • 9
    • 0030409931 scopus 로고    scopus 로고
    • An efficient inductive learning method for object-oriented database using attribute entropy
    • Y.-M. Huang and S.-H. Lin. An efficient inductive learning method for object-oriented database using attribute entropy. IEEE Trans. on Knowledge and Data Engineering, 8(6):946-951, 1996.
    • (1996) IEEE Trans. on Knowledge and Data Engineering , vol.8 , Issue.6 , pp. 946-951
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    • Development of X-Economy System for simulation of multi-agent economy
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    • H. Kawamura, A. Ohuchi, and K. Kurumatani. Development of X-Economy System for simulation of multi-agent economy. In A. Namatame, T. Terano, and K. Kurumatani, editors, Agent-Based Approaches in Economic and Social Complex Systems, pages 188-197. IOS Press, 2002.
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    • Oct
    • H. Ueda, N. Iwane, K. Takahashi, and T. Miyahara. Acquisition of a state transition graph using genetic network programming techniques. In Proc. of TENCON2003, pages 163-167, Oct. 2003.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.