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Volumn 2, Issue , 1999, Pages 718-723

Multiple HONG network fusion by fuzzy integral

Author keywords

[No Author keywords available]

Indexed keywords

INTEGRAL EQUATIONS; NETWORK ARCHITECTURE;

EID: 0001526556     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICONIP.1999.845684     Document Type: Conference Paper
Times cited : (3)

References (13)
  • 2
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    • Banon, G.1
  • 3
    • 0029264250 scopus 로고
    • Multiple network fusion using fuzzy logic
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    • S.-B. Cho and J, H, Kim. Multiple Network Fusion Using Fuzzy Logic. IEEE Transact ions on Neural Networks, 6(2):497-501, Mar. 1995.
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    • Cho, S.-B.1    Kim, J.H.2
  • 4
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    • Fast sequential implementation of "neural gas" network for vector quantization
    • Mar.
    • C. S.-T. Choy and W.-C. Sin. Fast Sequential Implementation of "Neural Gas" Network for Vector Quantization. IEEE Transactions on Communications, 46(3):301-304, Mar. 1998
    • (1998) IEEE Transactions on Communications , vol.46 , Issue.3 , pp. 301-304
    • Choy, C.S.-T.1    Sin, W.-C.2
  • 7
    • 0025489075 scopus 로고
    • The self-organizing map
    • Sept.
    • T. Kohonen. The Self-Organizing Map. Proceedings of the IEEE, 78(9):1464-1480, Sept. 1990.
    • (1990) Proceedings of the IEEE , vol.78 , Issue.9 , pp. 1464-1480
    • Kohonen, T.1
  • 8
    • 0027632248 scopus 로고
    • "Neural gas" network for vector quantization and its application to time-series prediction
    • July
    • T. M. Martinetz, S. G. Berkovich, and K. J. Schulten. "Neural Gas" Network for Vector Quantization and its Application to Time-Series Prediction. IEEE Transactions on Neural Network 4(4):558-569, July 1993.
    • (1993) IEEE Transactions on Neural Network , vol.4 , Issue.4 , pp. 558-569
    • Martinetz, T.M.1    Berkovich, S.G.2    Schulten, K.J.3
  • 9
    • 0000742931 scopus 로고
    • A "neural-gas" network learns topologies
    • T. Kohonen, K. Makisara, O. Simula, and J. Kangas, editors, North-Holland, Amsterdam
    • T. M. Martinetz and K, Schulten. A "Neural-Gas" Network Learns Topologies. In T. Kohonen, K. Makisara, O. Simula, and J. Kangas, editors, Artificial Neural Networks, pages 397-402. North-Holland, Amsterdam, 1991.
    • (1991) Artificial Neural Networks , pp. 397-402
    • Martinetz, T.M.1    Schulten, K.2
  • 10
    • 0027961797 scopus 로고
    • Combining the results of several neural network classifiers
    • G. Rogova, Combining the Results of Several Neural Network Classifiers. Neural Networks, 7(5):777-781,1994.
    • (1994) Neural Networks , vol.7 , Issue.5 , pp. 777-781
    • Rogova, G.1
  • 11
    • 0032761276 scopus 로고    scopus 로고
    • Hierarchical overlapped SOMs for pattern classification
    • Jan.
    • P. N. Suganthan. Hierarchical Overlapped SOMs for Pattern Classification, IEEE Transactions on Neural Networks, 10(1):193-196, Jan. 1999.
    • (1999) IEEE Transactions on Neural Networks , vol.10 , Issue.1 , pp. 193-196
    • Suganthan, P.N.1
  • 12
    • 85041353422 scopus 로고
    • A survey
    • M. Gupta, G. Saridis, and B. Gaines, editors, North Holland, New York
    • M, Sugcno. Fuzzy Measures and Fuzzy Integrals-A Survey. In M. Gupta, G. Saridis, and B. Gaines, editors, Fuzzy Automata and Decision Processes, pages 89-102. North Holland, New York, 1977.
    • (1977) Fuzzy Automata and Decision Processes , pp. 89
    • Sugcno, M.1    Measures, F.2    Integrals, F.3
  • 13


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.