메뉴 건너뛰기




Volumn 23, Issue 2, 1993, Pages 337-345

Learning Piecewise Control Strategies in a Modular Neural Network Architecture

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; GAIN CONTROL; LEARNING SYSTEMS; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; PARAMETER ESTIMATION; PIECEWISE LINEAR TECHNIQUES; PROBABILITY;

EID: 0027554445     PISSN: 00189472     EISSN: 21682909     Source Type: Journal    
DOI: 10.1109/21.229447     Document Type: Article
Times cited : (118)

References (24)
  • 1
    • 0025471561 scopus 로고
    • Analysis of gain scheduled control for nonlinear plants
    • J. S. Shamma, and M. Athans, “Analysis of gain scheduled control for nonlinear plants,” IEEE Trans. Automat. Contr., vol. 35, pp. 898–907, 1990.
    • (1990) IEEE Trans. Automat. Contr. , vol.35 , pp. 898-907
    • Shamma, J.S.1    Athans, M.2
  • 3
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • K. Hornik, M. Stinchcombe, and H. White, “Multilayer feedforward networks are universal approximators,” Neural Networks, vol. 2, pp. 359–366, 1989.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 4
    • 0000998598 scopus 로고
    • Two problems with backpropagation and other steepest—descent learning procedures for networks
    • R. S. Sutton, “Two problems with backpropagation and other steepest—descent learning procedures for networks,” Pro. Eighth Annual Conf. Cognitive Sci. Soc., 1986, pp. 823–831.
    • (1986) Pro. Eighth Annual Conf. Cognitive Sci. Soc. , pp. 823-831
    • Sutton, R.S.1
  • 5
    • 0001683059 scopus 로고
    • Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks
    • R. A. Jacobs, M. I. Jordan, and A. G. Barto, “Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks,” Cognitive Sci., vol. 15, no. 2, 1991.
    • (1991) Cognitive Sci. , vol.15 , Issue.2
    • Jacobs, R.A.1    Jordan, M.I.2    Barto, A.G.3
  • 7
    • 0000415231 scopus 로고
    • Maximum likelihood competitive learning
    • D. S. Touretzky, Ed. San Mateo, CA: Morgan Kaufmann
    • S. J. Nowlan, “Maximum likelihood competitive learning,” in Advances in Neural Information Processing Systems 2, D. S. Touretzky, Ed. San Mateo, CA: Morgan Kaufmann, 1990.
    • (1990) Advances in Neural Information Processing Systems 2
    • Nowlan, S.J.1
  • 8
    • 0010547899 scopus 로고
    • The bootstrap Widrow—Hoff rule as a cluster-formation algorithm
    • G. E. Hinton and S. J. Nowlan, “The bootstrap Widrow—Hoff rule as a cluster-formation algorithm,” Neural Computation, vol. 2, pp. 355–362, 1990.
    • (1990) Neural Computation , vol.2 , pp. 355-362
    • Hinton, G.E.1    Nowlan, S.J.2
  • 9
    • 0000583248 scopus 로고
    • Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition
    • F. Fogelman—Soulie and J. Herault, Eds. New York: Springer-Verlag
    • J. Bridle, “Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition,” in Neurocomputing: Algorithms, Architectures, and Applications, F. Fogelman—Soulie and J. Herault, Eds. New York: Springer-Verlag, 1989.
    • (1989) Neurocomputing: Algorithms, Architectures, and Applications
    • Bridle, J.1
  • 10
    • 0023657610 scopus 로고
    • An analogue approach to the traveling salesman problem using an elastic net method
    • R. Durbin and D. J. Willshaw, “An analogue approach to the traveling salesman problem using an elastic net method,” Nature, vol. 326, pp. 689–691, 1987.
    • (1987) Nature , vol.326 , pp. 689-691
    • Durbin, R.1    Willshaw, D.J.2
  • 11
    • 0000134812 scopus 로고
    • Une procedure d’apprentissage pour reseau a sequil asymetrique (A learning procedure for asymmetric threshold networks)
    • Y. le Cun, “Une procedure d'apprentissage pour reseau a sequil asymetrique (A learning procedure for asymmetric threshold networks),” Proc. Cognitiva, vol. 85, pp. 599–604, 1985.
    • (1985) Proc. Cognitiva , vol.85 , pp. 599-604
    • Le Cun, Y.1
  • 13
    • 0003465475 scopus 로고    scopus 로고
    • Learning internal representations by error propagation
    • D. E. Rumelhart, G. E. Hinton, and R. J. Williams, “Learning internal representations by error propagation,”
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 15
    • 0003529238 scopus 로고
    • Beyond regression: New tools for prediction and analysis in the behavioral sciences
    • Cambridge, MA
    • P. J. Werbos, “Beyond regression: New tools for prediction and analysis in the behavioral sciences,” Ph.D. dissertation, Harvard Univ., Cambridge, MA, 1974.
    • (1974) Ph.D. dissertation, Harvard Univ.
    • Werbos, P.J.1
  • 17
    • 0003891734 scopus 로고
    • Mixture Models: Inference and Applications to Clustering
    • New York: Marcel Dekker
    • G. J. McLachlan, and K. E. Basford, Mixture Models: Inference and Applications to Clustering. New York: Marcel Dekker, 1988.
    • (1988)
    • McLachlan, G.J.1    Basford, K.E.2
  • 19
    • 0023084681 scopus 로고
    • Hierarchical neural—network model for control and learning of voluntary movement
    • M. Kawato, K. Furukawa, and R. Suzuki, “Hierarchical neural—network model for control and learning of voluntary movement,” Biological Cybern., vol. 57, pp. 169–185, 1987.
    • (1987) Biological Cybern. , vol.57 , pp. 169-185
    • Kawato, M.1    Furukawa, K.2    Suzuki, R.3
  • 20
    • 0023364624 scopus 로고
    • Application of a general learning algorithm to the control of robotic manipulators
    • W. T. Miller, F. H. Glanz, and L. G. Kraft, “Application of a general learning algorithm to the control of robotic manipulators,” The Int. J. Robotics Res., vol. 6, pp. 84-98 1987.
    • (1987) The Int. J. Robotics Res. , vol.6 , pp. 84-98
    • Miller, W.T.1    Glanz, F.H.2    Kraft, L.G.3
  • 21
    • 0002355083 scopus 로고
    • Connectionist learning for control: An overview
    • T. Miller, R. S. Sutton, and P. J. Werbos Eds. Cambridge, MA The MIT Press
    • A. G. Barto, “Connectionist learning for control: An overview,” in T. Miller, R. S. Sutton, and P. J. Werbos, Eds., Neural Networks for Control. Cambridge, MA: The MIT Press, 1990.
    • (1990) Neural Networks for Control
    • Barto, A.G.1
  • 22
    • 44049116478 scopus 로고
    • Forward models: Supervised learning with a distal teacher
    • M. I. Jordan and D. E. Rumelhart, “Forward models: Supervised learning with a distal teacher,” Cognitive Sci., vol. 16, pp. 307–354, 1992.
    • (1992) Cognitive Sci , vol.16 , pp. 307-354
    • Jordan, M.I.1    Rumelhart, D.E.2
  • 23
    • 0001632132 scopus 로고
    • Hierarchies of adaptive experts
    • S. Hanson, and R. Lippmann, Eds. San Mateo, CA: Morgan Kaufmann
    • M. I. Jordan and R. A. Jacobs, “Hierarchies of adaptive experts,” in Advances in Neural Information Processing Systems 4, J. Moody, S. Hanson, and R. Lippmann, Eds. San Mateo, CA: Morgan Kaufmann, 1992.
    • (1992) Advances in Neural Information Processing Systems 4
    • Jordan, M.I.1    Jacobs, R.A.2
  • 24
    • 0025399567 scopus 로고
    • Identification and control of dynamical systems using neural networks
    • K. S. Narendra and K. Parthasarathy. “Identification and control of dynamical systems using neural networks,” IEEE Trans. Neural Networks, vol. 1, pp. 4–27, 1990.
    • (1990) IEEE Trans. Neural Networks , vol.1 , pp. 4-27
    • Narendra, K.S.1    Parthasarathy, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.