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Volumn 37, Issue 3, 2004, Pages 219-249

Active Hebbian learning algorithm to train fuzzy cognitive maps

Author keywords

Artificial neural networks; Fuzzy cognitive maps; Hebbian learning; Unsupervised learning

Indexed keywords

COGNITIVE SYSTEMS; CONVERGENCE OF NUMERICAL METHODS; FUZZY SETS; LARGE SCALE SYSTEMS; MAPS; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION; PROBLEM SOLVING;

EID: 5744236319     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2004.01.001     Document Type: Article
Times cited : (301)

References (34)
  • 5
    • 0345356963 scopus 로고    scopus 로고
    • An integrated two-level hierarchical decision making system based on fuzzy cognitive maps (FCMs)
    • Papageorgiou E.I., Stylios C.D., Groumpos P.P. An integrated two-level hierarchical decision making system based on fuzzy cognitive maps (FCMs). IEEE Transactions on Biomedical Engineering. 50(12):2003;1326-1339.
    • (2003) IEEE Transactions on Biomedical Engineering , vol.50 , Issue.12 , pp. 1326-1339
    • Papageorgiou, E.I.1    Stylios, C.D.2    Groumpos, P.P.3
  • 9
    • 0010089325 scopus 로고
    • Fuzzy cognitive maps model social systems
    • Taber R. Fuzzy cognitive maps model social systems. AI Expert. 9:1994;8-23.
    • (1994) AI Expert , vol.9 , pp. 8-23
    • Taber, R.1
  • 10
    • 0029733591 scopus 로고    scopus 로고
    • Using fuzzy cognitive maps as a system model for failure modes and effects analysis
    • Pelaez C.E., Bowles J.B. Using fuzzy cognitive maps as a system model for failure modes and effects analysis. Information Sciences. 88:1996;177-199.
    • (1996) Information Sciences , vol.88 , pp. 177-199
    • Pelaez, C.E.1    Bowles, J.B.2
  • 13
    • 0033204111 scopus 로고    scopus 로고
    • Contextual fuzzy cognitive map for decision support in geographic information systems
    • Liu Z.Q., Satur R. Contextual fuzzy cognitive map for decision support in geographic information systems. IEEE Transactions of Fuzzy Systems. 5:1999;495-507.
    • (1999) IEEE Transactions of Fuzzy Systems , vol.5 , pp. 495-507
    • Liu, Z.Q.1    Satur, R.2
  • 16
    • 79952262224 scopus 로고    scopus 로고
    • Adaptive random fuzzy cognitive maps
    • F.J. Garijio, J.C. Riquelme, & M. Toro. IBERAMIA 2002. 28 July-1 August, Edmonton, Alberta, Canada. Berlin, Heidelberg: Springer-Verlag
    • Aguilar J. Adaptive random fuzzy cognitive maps. Garijio F.J., Riquelme J.C., Toro M. IBERAMIA 2002. 28 July-1 August, Edmonton, Alberta, Canada Lecture Notes in Artificial Intelligence. 2527:2002;402-410 Springer-Verlag, Berlin, Heidelberg.
    • (2002) Lecture Notes in Artificial Intelligence , vol.2527 , pp. 402-410
    • Aguilar, J.1
  • 17
    • 7444232251 scopus 로고    scopus 로고
    • Fuzzy cognitive map learning based on nonlinear Hebbian Rule
    • T.D. Gedeon, & L.C.C. Fung. Lecture Notes in Artificial Intelligence. Berlin Heidelberg: Springer-Verlag
    • Papageorgiou E.I., Stylios C.D., Groumpos P.P. Fuzzy cognitive map learning based on nonlinear Hebbian Rule. Gedeon T.D., Fung L.C.C. 16th International Conference on Artficial Intelligence, AI. Lecture Notes in Artificial Intelligence. 2903:2003;254-266 Springer-Verlag, Berlin Heidelberg.
    • (2003) 16th International Conference on Artficial Intelligence, AI , vol.2903 , pp. 254-266
    • Papageorgiou, E.I.1    Stylios, C.D.2    Groumpos, P.P.3
  • 19
    • 0034876603 scopus 로고    scopus 로고
    • Learning fuzzy cognitive maps using evolution strategies: A novel schema for modeling a simulating high-level behavior
    • Seoul, Korea
    • D.E. Koulouriotis, I.E. Diakoulakis, D.M. Emiris, Learning fuzzy cognitive maps using evolution strategies: a novel schema for modeling a simulating high-level behavior, in: Proceedings of IEEE Congress on Evolutionary Computation, Seoul, Korea, vol. 1, 2001, pp. 364-371.
    • (2001) Proceedings of IEEE Congress on Evolutionary Computation , vol.1 , pp. 364-371
    • Koulouriotis, D.E.1    Diakoulakis, I.E.2    Emiris, D.M.3
  • 25
    • 0003168213 scopus 로고
    • Learning in nonlinear constrained Hebbian networks
    • Kohonen T. et al. Amsterdam: North-Holland
    • Oja E., Ogawa H., Wangviwattana J. Learning in nonlinear constrained Hebbian networks. Kohonen T., et al. Artificial Neural Networks. 1991;385-390 North-Holland, Amsterdam.
    • (1991) Artificial Neural Networks , pp. 385-390
    • Oja, E.1    Ogawa, H.2    Wangviwattana, J.3
  • 26
    • 0026631909 scopus 로고
    • Competitive Hebbian learning: Algorithm and demonstration
    • White R.H. Competitive Hebbian learning: algorithm and demonstration. Neural Networks. 5:1992;261-275.
    • (1992) Neural Networks , vol.5 , pp. 261-275
    • White, R.H.1
  • 28
    • 0029343566 scopus 로고
    • Learning in linear neural networks: A survey
    • Baldi P., Hornik K. Learning in linear neural networks: a survey. IEEE Trans. Neural Networks. 6:1995;837-858.
    • (1995) IEEE Trans. Neural Networks , vol.6 , pp. 837-858
    • Baldi, P.1    Hornik, K.2
  • 29
    • 0024883243 scopus 로고
    • Optimal unsupervised learning in a single layer linear feed forward neural network
    • Sanger T.D. Optimal unsupervised learning in a single layer linear feed forward neural network. Neural Networks. 2(6):1989;459-473.
    • (1989) Neural Networks , vol.2 , Issue.6 , pp. 459-473
    • Sanger, T.D.1
  • 32
    • 0001202594 scopus 로고
    • A learning algorithm for continually running fully recurrent neural networks
    • Williams R.J., Zipser D. A learning algorithm for continually running fully recurrent neural networks. Neural Computation. 1(2):1989;270-280.
    • (1989) Neural Computation , vol.1 , Issue.2 , pp. 270-280
    • Williams, R.J.1    Zipser, D.2
  • 33
    • 0002399288 scopus 로고
    • Neural networks, principal components and subspaces
    • Oja E. Neural networks, principal components and subspaces. International Journal of Neural Systems. 1:1989;61-68.
    • (1989) International Journal of Neural Systems , vol.1 , pp. 61-68
    • Oja, E.1
  • 34
    • 0028292832 scopus 로고
    • Minimization methods for training feed forward neural networks
    • Van der Smagt P.P. Minimization methods for training feed forward neural networks. Neural Networks. 7(1):1994;1-11.
    • (1994) Neural Networks , vol.7 , Issue.1 , pp. 1-11
    • Van Der Smagt, P.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.