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Volumn 71, Issue 4-6, 2008, Pages 584-591

A novel framework for automatic generation of fuzzy neural networks

Author keywords

Fuzzy neural networks; Machine learning; Q learning; Structure identification

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FUZZY RULES; HIERARCHICAL SYSTEMS; LEARNING SYSTEMS; MOBILE ROBOTS;

EID: 38649101304     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2007.03.015     Document Type: Article
Times cited : (11)

References (25)
  • 1
    • 2942574444 scopus 로고    scopus 로고
    • Online tuning of fuzzy inference systems using dynamic fuzzy Q-learning
    • Er M.J., and Deng C. Online tuning of fuzzy inference systems using dynamic fuzzy Q-learning. IEEE Trans Syst. Man Cybern. Part B 34 3 (2004) 1478-1489
    • (2004) IEEE Trans Syst. Man Cybern. Part B , vol.34 , Issue.3 , pp. 1478-1489
    • Er, M.J.1    Deng, C.2
  • 2
    • 21044436480 scopus 로고    scopus 로고
    • Obstacle avoidance of a mobile robot using hybrid learning approach
    • Er M.J., and Deng C. Obstacle avoidance of a mobile robot using hybrid learning approach. IEEE Trans. Ind. Electron. 52 3 (2005) 898-905
    • (2005) IEEE Trans. Ind. Electron. , vol.52 , Issue.3 , pp. 898-905
    • Er, M.J.1    Deng, C.2
  • 3
    • 85135470835 scopus 로고
    • A growing neural gas network learns topologies
    • Tesauro G., Touretzky D.S., and Leen T.K. (Eds), MIT Press, Cambridge, MA
    • Fritzke B. A growing neural gas network learns topologies. In: Tesauro G., Touretzky D.S., and Leen T.K. (Eds). Advances in Neural Information Processing Systems vol. 7 (1995), MIT Press, Cambridge, MA 625-632
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 625-632
    • Fritzke, B.1
  • 5
    • 0027601884 scopus 로고
    • Anfis: adaptive-network-based fuzzy inference system
    • Jang J.S.R. Anfis: adaptive-network-based fuzzy inference system. IEEE Trans. Syst. Man Cybern. 23 3 (1993) 665-684
    • (1993) IEEE Trans. Syst. Man Cybern. , vol.23 , Issue.3 , pp. 665-684
    • Jang, J.S.R.1
  • 6
    • 0032140718 scopus 로고    scopus 로고
    • Fuzzy inference system learning by reinforcement methods
    • Jouffe L. Fuzzy inference system learning by reinforcement methods. IEEE Trans. Syst. Man Cybern. Part C 28 3 (1998) 338-355
    • (1998) IEEE Trans. Syst. Man Cybern. Part C , vol.28 , Issue.3 , pp. 338-355
    • Jouffe, L.1
  • 7
    • 21444440759 scopus 로고    scopus 로고
    • Combination of online clustering and Q-value based GA for reinforcement fuzzy systems
    • Juang C.F. Combination of online clustering and Q-value based GA for reinforcement fuzzy systems. IEEE Trans. Fuzzy Systems 13 3 (2005) 289-302
    • (2005) IEEE Trans. Fuzzy Systems , vol.13 , Issue.3 , pp. 289-302
    • Juang, C.F.1
  • 8
    • 0020068152 scopus 로고
    • Self-organized formation of topologically correct feature maps
    • Kohonen T. Self-organized formation of topologically correct feature maps. Biol. Cybern. 43 (1982) 59-69
    • (1982) Biol. Cybern. , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 9
    • 0026366218 scopus 로고
    • Neural-network-based fuzzy logic control and decision system
    • Lin C.T., and Lee C.S.G. Neural-network-based fuzzy logic control and decision system. IEEE Trans. Comput. 40 12 (1991) 1320-1336
    • (1991) IEEE Trans. Comput. , vol.40 , Issue.12 , pp. 1320-1336
    • Lin, C.T.1    Lee, C.S.G.2
  • 10
    • 0031568361 scopus 로고    scopus 로고
    • A sequential learning scheme for function approximation using minimal radial basis function neural networks
    • Lu Y., Sundararajan N., and Saratchandran P. A sequential learning scheme for function approximation using minimal radial basis function neural networks. Neural Comput. 9 2 (1997) 461-478
    • (1997) Neural Comput. , vol.9 , Issue.2 , pp. 461-478
    • Lu, Y.1    Sundararajan, N.2    Saratchandran, P.3
  • 12
    • 38649102769 scopus 로고    scopus 로고
    • T. Nilsson, [Online]. Available: 〈http://www.kiks.f2s.com〉.
    • T. Nilsson, [Online]. Available: 〈http://www.kiks.f2s.com〉.
  • 13
    • 0020464111 scopus 로고
    • A simplified neuron model as a principal components analyzer
    • Oja E. A simplified neuron model as a principal components analyzer. J. Math. Biol. 15 (1982) 267-273
    • (1982) J. Math. Biol. , vol.15 , pp. 267-273
    • Oja, E.1
  • 14
    • 0027662338 scopus 로고
    • Pruning algorithms-a survey
    • Reed R. Pruning algorithms-a survey. IEEE Trans. Neural Networks 4 5 (1993) 740-747
    • (1993) IEEE Trans. Neural Networks , vol.4 , Issue.5 , pp. 740-747
    • Reed, R.1
  • 16
    • 38649113851 scopus 로고    scopus 로고
    • S.A. K-Team, Khepera 2 User Manual, Switzerland, 2002.
    • S.A. K-Team, Khepera 2 User Manual, Switzerland, 2002.
  • 20
    • 34249833101 scopus 로고
    • Technical note Q-learning
    • Watkins C.J.C.H., and Dayan P. Technical note Q-learning. Mach. Learn. 8 3-4 (1992) 279-292
    • (1992) Mach. Learn. , vol.8 , Issue.3-4 , pp. 279-292
    • Watkins, C.J.C.H.1    Dayan, P.2
  • 21
    • 0033692531 scopus 로고    scopus 로고
    • Dynamic fuzzy neural networks: a novel approach to function approximation
    • Wu S., and Er M.J. Dynamic fuzzy neural networks: a novel approach to function approximation. IEEE Trans. Syst. Man Cybern. Part B 30 2 (2000) 358-364
    • (2000) IEEE Trans. Syst. Man Cybern. Part B , vol.30 , Issue.2 , pp. 358-364
    • Wu, S.1    Er, M.J.2
  • 22
    • 0035415951 scopus 로고    scopus 로고
    • A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks
    • Wu S., Er M.J., and Gao Y. A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks. IEEE Trans. Fuzzy Systems 5 4 (2001) 578-594
    • (2001) IEEE Trans. Fuzzy Systems , vol.5 , Issue.4 , pp. 578-594
    • Wu, S.1    Er, M.J.2    Gao, Y.3
  • 23
    • 0037278069 scopus 로고    scopus 로고
    • A fuzzy controller with supervised learning assisted reinforcement learning algorithm for obstacle avoidance
    • Ye C., Yung H.C., and Wang D. A fuzzy controller with supervised learning assisted reinforcement learning algorithm for obstacle avoidance. IEEE Trans. Syst. Man Cybern. Part B 33 1 (2003) 17-27
    • (2003) IEEE Trans. Syst. Man Cybern. Part B , vol.33 , Issue.1 , pp. 17-27
    • Ye, C.1    Yung, H.C.2    Wang, D.3
  • 24
    • 34248666540 scopus 로고
    • Fuzzy sets
    • Zadeh L.A. Fuzzy sets. Inf. Control 8 (1965) 338-358
    • (1965) Inf. Control , vol.8 , pp. 338-358
    • Zadeh, L.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.