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Volumn 72, Issue 7-8, 1999, Pages 643-658

Lazy learning for local modelling and control design

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EID: 84877765169     PISSN: 00207179     EISSN: 13665820     Source Type: Journal    
DOI: 10.1080/002071799220830     Document Type: Article
Times cited : (56)

References (61)
  • 2
    • 0002676017 scopus 로고    scopus 로고
    • Editorial
    • (Special Issue on Lazy Learning)
    • Aha, D. W., 1997, Editorial. Artificial Intelligence Review, 11, 1-6. (Special Issue on Lazy Learning).
    • (1997) Artificial Intelligence Review , vol.11 , pp. 1-6
    • Aha, D.W.1
  • 3
    • 0000642183 scopus 로고
    • Computer control of apaper machine. A n application of linear stochastic control theory
    • Åsteöm, K. J., 1967, Computer control of apaper machine. A n application of linear stochastic control theory. IBM Journal of Research and Development 11, 389-404.
    • (1967) IBM Journal of Research and Development , vol.11 , pp. 389-404
    • Åsteöm, K.J.1
  • 4
    • 0020815940 scopus 로고
    • Theory and applications of adaptive control-a survey
    • Åsteöm, K. J., 1983, Theory and applications of adaptive control-a survey. Automatica, 19, 471-486.
    • (1983) Automatica , vol.19 , pp. 471-486
    • Åsteöm, K.J.1
  • 9
    • 0000193385 scopus 로고    scopus 로고
    • A simplification of the back-propagation-through-time algorithm for optimal neurocontrol
    • Beesini, H., and Goeeini, V., 1997, A simplification of the back-propagation-through-time algorithm for optimal neurocontrol. IEEE Transactions on Neural Networks, 8, 437-441.
    • (1997) IEEE Transactions on Neural Networks , vol.8 , pp. 437-441
    • Beesini, H.1    Goeeini, V.2
  • 11
  • 12
    • 0023981451 scopus 로고
    • The art of adaptive pattern recognition by a self-organising neural network
    • Caepentee, G. A., and Geossbeet, S., 1988, The art of adaptive pattern recognition by a self-organising neural network. IEEE Computer, 21, 77-88.
    • (1988) IEEE Computer , vol.21 , pp. 77-88
    • Caepentee, G.A.1    Geossbeet, S.2
  • 15
  • 22
    • 0000887734 scopus 로고
    • Data-driven bandwidth selection in local polynomial fitting: Variable bandwidth and spatial adaptation
    • Fan, J., and Gijbels, I., 1995, Data-driven bandwidth selection in local polynomial fitting: variable bandwidth and spatial adaptation. Journal of the Royal Statistics Society, Series B, 57, 371-394.
    • (1995) Journal of the Royal Statistics Society, Series B , vol.57 , pp. 371-394
    • Fan, J.1    Gijbels, I.2
  • 25
  • 28
    • 0031101534 scopus 로고    scopus 로고
    • Design and analysis of gain-scheduled control using local controller networks
    • Hunt, K. J., and Johansen, T. A 1997, Design and analysis of gain-scheduled control using local controller networks. International Journal of Control, 66, 619-651.
    • (1997) International Journal of Control , vol.66 , pp. 619-651
    • Hunt, K.J.1    Johansen, T.A.2
  • 29
    • 0001683059 scopus 로고
    • Task decomposition through competition in a modular connections architecture: The what and where vision tasks
    • Jacobs, R., Ajordan, M. I., and Barto, A. G., 1991, Task decomposition through competition in a modular connections architecture: The what and where vision tasks. Cognitive Science, 15, 219-250.
    • (1991) Cognitive Science , vol.15 , pp. 219-250
    • Jacobs, R.1    Ajordan, M.I.2    Barto, A.G.3
  • 30
  • 31
    • 0002449810 scopus 로고
    • Semi-empricial modeling of non-linear dynamic systems through identification of operating regimes and local models
    • K. H. Hunt, G. R. Irwin, and K. Warwick (Eds), Springer
    • Johansen, T. A., and Foss, B. A., 1995, Semi-empricial modeling of non-linear dynamic systems through identification of operating regimes and local models. In K. H. Hunt, G. R. Irwin, and K. Warwick (Eds) Neural Network Engineering in Dynamic Control Systems (Springer).
    • (1995) Neural Network Engineering in Dynamic Control Systems
    • Johansen, T.A.1    Foss, B.A.2
  • 32
    • 44049116478 scopus 로고
    • Forward models: Supervised learning with a distal teacher
    • Jordan, M. I., and Rumelhart, D. E., 1992, Forward models: supervised learning with a distal teacher. Cognitive Science, 16, 307-354.
    • (1992) Cognitive Science , vol.16 , pp. 307-354
    • Jordan, M.I.1    Rumelhart, D.E.2
  • 35
    • 0000672424 scopus 로고
    • Fast learning in networks of locally-tuned processing units
    • Moody, J., and Darken, C. J., 1989, Fast learning in networks of locally-tuned processing units. Neural Computation, 1, 281-294.
    • (1989) Neural Computation , vol.1 , pp. 281-294
    • Moody, J.1    Darken, C.J.2
  • 36
    • 0002399508 scopus 로고    scopus 로고
    • Efficient locally weighted polynomial regression predictions
    • Morgan Kaufmann Publishers
    • Moore, A. W., Schneider, J., and Deng, K., 1997, Efficient locally weighted polynomial regression predictions. In Proceedings of the 1997 International Machine Learning Conference, vol. 15 (Morgan Kaufmann Publishers), pp. 219-250 (ftp at http://www.cs.cmu.edu/~awm/papers.html).
    • (1997) Proceedings of the 1997 International Machine Learning Conference , vol.15 , pp. 219-250
    • Moore, A.W.1    Schneider, J.2    Deng, K.3
  • 37
    • 0009584922 scopus 로고
    • Local model architectures for non-linear modelling and control
    • K. J. Hunt, G. R. Irwin and K. Warwick, (Springer)
    • Murray-Smith, R., and Hunt, K., 1995, Local model architectures for non-linear modelling and control. In K. J. Hunt, G. R. Irwin and K. Warwick (Eds) Neural Network Engineering in Dynamic Control Systems (Springer), pp. 61-82.
    • (1995) Neural Network Engineering in Dynamic Control Systems , pp. 61-82
    • Murray-Smith, R.1    Hunt, K.2
  • 42
    • 0344116193 scopus 로고    scopus 로고
    • Neural networks in control systems
    • P. Smolensky, M. C. Mozer and D. E. Rumelhart, (Lawrence Erlbaum Associates), Ch. 11
    • Narendra, K. S., and Li, S. M., 1996, Neural networks in control systems. In P. Smolensky, M. C. Mozer and D. E. Rumelhart (Eds) Mathematical Perspectives on Neural Networks (Lawrence Erlbaum Associates), Ch. 11, pp. 347-394.
    • (1996) Mathematical Perspectives on Neural Networks , pp. 347-394
    • Narendra, K.S.1    Li, S.M.2
  • 44
    • 0345410070 scopus 로고    scopus 로고
    • Fuzzy control
    • W. S. Levine, (IEEE Press)
    • Passino, K. M., and Yurkovich, S., 1996, Fuzzy control. In W. S. Levine (Ed). The Control Handbook (IEEE Press), pp. 1001-1017.
    • (1996) The Control Handbook , pp. 1001-1017
    • Passino, K.M.1    Yurkovich, S.2
  • 47
    • 0025792465 scopus 로고
    • Analytical framework for gain scheduling
    • Rugh, W. J., 1991, Analytical framework for gain scheduling. IEEE Control Systems, 11, 79-84.
    • (1991) IEEE Control Systems , vol.11 , pp. 79-84
    • Rugh, W.J.1
  • 49
    • 0031070068 scopus 로고    scopus 로고
    • Tolerating concept and sampling shift in lazy learning using prediction error context switching
    • Salganicoff, M., 1997. Tolerating concept and sampling shift in lazy learning using prediction error context switching. Artificial Intelligence Review, 11, 133-155.
    • (1997) Artificial Intelligence Review , vol.11 , pp. 133-155
    • Salganicoff, M.1
  • 50
    • 0028374275 scopus 로고
    • Robot juggling: Implementation of memory-based learning
    • February
    • Schaal, S., and Atkeson, C.G., 1994, Robot juggling: implementation of memory-based learning. IEEE Control Systems, February, 57-71.
    • (1994) IEEE Control Systems , pp. 57-71
    • Schaal, S.1    Atkeson, C.G.2
  • 51
    • 0000890905 scopus 로고    scopus 로고
    • Multiple model adaptive control
    • R. Murray-Sm ith and T. A. Johansen, (Taylor & Francis)
    • Schott, K. D., and Bequette, B.W., 1997, Multiple model adaptive control. In R. Murray-Sm ith and T. A. Johansen (Eds) Multiple Model Approaches to Modeling and Control (Taylor & Francis), pp. 269-291.
    • (1997) Multiple Model Approaches to Modeling and Control , pp. 269-291
    • Schott, K.D.1    Bequette, B.W.2
  • 52
    • 0026883988 scopus 로고
    • Gain scheduling: Potential hazards and possible remedies
    • June
    • Shamma, J. S., and Athans, M., 1992, Gain scheduling: Potential hazards and possible remedies. IEEE Control Systems Magazine, June, 101-107.
    • (1992) IEEE Control Systems Magazine , pp. 101-107
    • Shamma, J.S.1    Athans, M.2
  • 59
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
    • Takagi, T., and Sugeno, M., 1985, Fuzzy identification of systems and its applications to modeling and control. IEEE Transactions on System, Man and Cybernetics, 15, 116-132.
    • (1985) IEEE Transactions on System, Man and Cybernetics , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 60
    • 0029403607 scopus 로고
    • Stability and stabilizability of fuzzy-neural-linear control systems
    • Tanaka, K., 1995, Stability and stabilizability of fuzzy-neural-linear control systems. IEEE Transactions on Fuzzy systems, 3, 438-447.
    • (1995) IEEE Transactions on Fuzzy Systems , vol.3 , pp. 438-447
    • Tanaka, K.1
  • 61
    • 0026644930 scopus 로고
    • Stability analysis and design of fuzzy control systems
    • Tanaka, K., and Sugeno, M., 1992, Stability analysis and design of fuzzy control systems. Fuzzy Sets and Systems, 45, 135-156.
    • (1992) Fuzzy Sets and Systems , vol.45 , pp. 135-156
    • Tanaka, K.1    Sugeno, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.