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Volumn 111, Issue 2, 2000, Pages 285-306

Water bath temperature control with a neural fuzzy inference network

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; BACKPROPAGATION; FUZZY SETS; IDENTIFICATION (CONTROL SYSTEMS); INFERENCE ENGINES; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; ONLINE SYSTEMS; TEMPERATURE CONTROL;

EID: 0033904591     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(98)00075-X     Document Type: Article
Times cited : (20)

References (32)
  • 2
    • 0026923465 scopus 로고
    • Learning and tuning fuzzy logic controllers through reinforcements
    • Berenji H.R., Khedkar P. Learning and tuning fuzzy logic controllers through reinforcements. IEEE Trans. Neural Networks. 3(5):1992;724-740.
    • (1992) IEEE Trans. Neural Networks , vol.3 , Issue.5 , pp. 724-740
    • Berenji, H.R.1    Khedkar, P.2
  • 3
    • 85031579154 scopus 로고
    • Internal world models and supervised learning
    • in: Machine Learning
    • M. Jordan, D.E. Rumelhart, Internal world models and supervised learning, in: Machine Learning, Proc. 8th Internat. Workshop, 1991.
    • (1991) Proc. 8th Internat. Workshop
    • Jordan, M.1    Rumelhart, D.E.2
  • 4
    • 0027539712 scopus 로고
    • Fuzzy control of pH using genetic algorithms
    • Karr C.L., Gentry E.J. Fuzzy control of pH using genetic algorithms. IEEE Trans. Fuzzy System. 1:1993;46-53.
    • (1993) IEEE Trans. Fuzzy System , vol.1 , pp. 46-53
    • Karr, C.L.1    Gentry, E.J.2
  • 5
    • 0026883993 scopus 로고
    • A neural network controller for a temperature control system
    • Khalid M., Omatu S. A neural network controller for a temperature control system. IEEE Control System Mag. 12(3):1992;58-64.
    • (1992) IEEE Control System Mag. , vol.12 , Issue.3 , pp. 58-64
    • Khalid, M.1    Omatu, S.2
  • 8
    • 0025404409 scopus 로고
    • Fuzzy logic in control systems: Fuzzy logic controllers - Parts I, II
    • Lee C.C. Fuzzy logic in control systems: fuzzy logic controllers - Parts I, II. IEEE Trans. System Man Cybernet. 20:1990;404-435.
    • (1990) IEEE Trans. System Man Cybernet. , vol.20 , pp. 404-435
    • Lee, C.C.1
  • 9
    • 0026981588 scopus 로고
    • A new fuzzy gain scheduling algorithm for process control
    • Chicago, IL
    • C. Ling, T. Edgar, A new fuzzy gain scheduling algorithm for process control, in: Proc. ACC'92, Chicago, IL, 1992, pp. 2284-2290.
    • (1992) In: Proc. ACC'92 , pp. 2284-2290
    • Ling, C.1    Edgar, T.2
  • 10
    • 0026366218 scopus 로고
    • Neural-network-based fuzzy logic control and decision system
    • Lin C.T., 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
  • 13
    • 0030147547 scopus 로고    scopus 로고
    • Reinforcement learning for ART-based fuzzy adaptive learning control networks
    • Lin C.J., Lin C.T. Reinforcement learning for ART-based fuzzy adaptive learning control networks. IEEE Trans. Neural Networks. 7(3):1996.
    • (1996) IEEE Trans. Neural Networks , vol.7 , Issue.3
    • Lin, C.J.1    Lin, C.T.2
  • 14
    • 0029275364 scopus 로고
    • A neural fuzzy control system with structure and parameter learning
    • Lin C.T. A neural fuzzy control system with structure and parameter learning. Fuzzy Sets and Systems. 70:1995;183-212.
    • (1995) Fuzzy Sets and Systems , vol.70 , pp. 183-212
    • Lin, C.T.1
  • 17
    • 0025418416 scopus 로고
    • Mobile robot control by a structured hierarchical neural network
    • Nagata S., Sekiguchi M., Asakawa K. Mobile robot control by a structured hierarchical neural network. IEEE Control System Mag. 10(3):1990;69-76.
    • (1990) IEEE Control System Mag. , vol.10 , Issue.3 , pp. 69-76
    • Nagata, S.1    Sekiguchi, M.2    Asakawa, K.3
  • 18
    • 0003960319 scopus 로고
    • Applied Linear Algebra
    • Englewood Cliffs, NJ: Prentice-Hall
    • Noble B., Daniel J.W. Applied Linear Algebra. 3rd ed. 1988;Prentice-Hall, Englewood Cliffs, NJ.
    • (1988) 3rd Ed.
    • Noble, B.1    Daniel, J.W.2
  • 22
    • 0003162414 scopus 로고
    • Recent development in fuzzy clustering
    • North-Holland, New York
    • E.H. Ruspini, Recent development in fuzzy clustering, Fuzzy Set and Possibility Theory, North-Holland, New York, 1982, pp. 113-147.
    • (1982) Fuzzy Set and Possibility Theory , pp. 113-147
    • Ruspini, E.H.1
  • 23
    • 0000185305 scopus 로고
    • Successive identification of a fuzzy model and its applications to prediction of a complex system
    • Sugeno M., Tanaka K. Successive identification of a fuzzy model and its applications to prediction of a complex system. Fuzzy Sets and Systems. 42(3):1991;315-334.
    • (1991) Fuzzy Sets and Systems , vol.42 , Issue.3 , pp. 315-334
    • Sugeno, M.1    Tanaka, K.2
  • 24
    • 0027224663 scopus 로고
    • A neuro-fuzzy classifier and its applications
    • San Francisco, CA
    • C.T. Sun, J.S. Jang, A neuro-fuzzy classifier and its applications, Proc. IEEE Internat. Conf. Fuzzy Systems, San Francisco, CA, vol. I, 1993, pp. 94-98.
    • (1993) Proc. IEEE Internat. Conf. Fuzzy Systems , vol.1 , pp. 94-98
    • Sun, C.T.1    Jang, J.S.2
  • 25
    • 0026956790 scopus 로고
    • Process control by on-line trained neural controllers
    • Tanomaru J., Omatu S. Process control by on-line trained neural controllers. IEEE Trans. Ind. Electron. 39(6):1992;511-521.
    • (1992) IEEE Trans. Ind. Electron. , vol.39 , Issue.6 , pp. 511-521
    • Tanomaru, J.1    Omatu, S.2
  • 26
    • 0029358133 scopus 로고
    • Modeling and control of carbon monoxide concentration using a neuro-fuzzy technique
    • Tanaka K., Sano M., Watanabe H. Modeling and control of carbon monoxide concentration using a neuro-fuzzy technique. IEEE Trans. Fuzzy Systems. 3(3):1995;271-279.
    • (1995) IEEE Trans. Fuzzy Systems , vol.3 , Issue.3 , pp. 271-279
    • Tanaka, K.1    Sano, M.2    Watanabe, H.3
  • 27
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
    • Takagi T., Sugeno M. Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. System Man Cybernet. 15(1):1985;116-132.
    • (1985) IEEE Trans. System Man Cybernet. , vol.15 , Issue.1 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 28
    • 0026928374 scopus 로고
    • Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
    • Wang L.X., Mendel J.M. Fuzzy basis functions, universal approximation, and orthogonal least-squares learning. IEEE Trans. Neural Networks. 3(5):1992;807-814.
    • (1992) IEEE Trans. Neural Networks , vol.3 , Issue.5 , pp. 807-814
    • Wang, L.X.1    Mendel, J.M.2
  • 29
    • 0029406441 scopus 로고
    • Building Sugeno-type models using fuzzy discretization and orthogonal parameter estimation techniques
    • Wang L., Langari R. Building Sugeno-type models using fuzzy discretization and orthogonal parameter estimation techniques. IEEE Trans. Fuzzy Systems. 3(4):1995;454-458.
    • (1995) IEEE Trans. Fuzzy Systems , vol.3 , Issue.4 , pp. 454-458
    • Wang, L.1    Langari, R.2
  • 32
    • 0015558134 scopus 로고
    • Outline of a new approach to the analysis of complex systems and decision processes
    • Zazeh L.A. Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans. System Man Cybernet. 3:1973;28-44.
    • (1973) IEEE Trans. System Man Cybernet. , vol.3 , pp. 28-44
    • Zazeh, L.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.