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Volumn 11, Issue 6, 1998, Pages 1099-1112

State space neural network. Properties and application

Author keywords

Dynamic behaviour; Empiric modelling; Linearization theory; Process industry; Recurrent neural networks; Stability theory; State space model; System identification

Indexed keywords

LINEARIZATION; MATHEMATICAL MODELS; NONLINEAR EQUATIONS; STATE SPACE METHODS; SYSTEM STABILITY; THEOREM PROVING;

EID: 0032144732     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(98)00074-4     Document Type: Article
Times cited : (78)

References (20)
  • 2
    • 0024931167 scopus 로고
    • A new approach for finding the global minimum of error function of neural networks
    • Baba N. A new approach for finding the global minimum of error function of neural networks. Neural Networks. 2:1989;367-373.
    • (1989) Neural Networks , vol.2 , pp. 367-373
    • Baba, N.1
  • 5
    • 0029345293 scopus 로고
    • Dynamic recurrent neural networks for system identification and control
    • Delgado A., Kambhampati C., Warwick K. Dynamic recurrent neural networks for system identification and control. IEE Proc.-Control Theory Appl. 142(4):1995;307-314.
    • (1995) IEE Proc.-Control Theory Appl. , vol.142 , Issue.4 , pp. 307-314
    • Delgado, A.1    Kambhampati, C.2    Warwick, K.3
  • 6
    • 26444565569 scopus 로고
    • Finding structure in time
    • Elman J. L. Finding structure in time. Cognitive Science. 14:1990;179-211.
    • (1990) Cognitive Science , vol.14 , pp. 179-211
    • Elman, J.L.1
  • 8
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Hornik K., Stinchcombe M., White H. Multilayer feedforward networks are universal approximators. Neural Networks. 2:1989;359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 9
  • 12
    • 0027556807 scopus 로고
    • Application of feedforward neural networks to dynamical system identification and control
    • Kuschewski J. G., Hui S., Zak S. H. Application of feedforward neural networks to dynamical system identification and control. IEEE Transactions on Control Systems Technology. 1(1):1993;37-49.
    • (1993) IEEE Transactions on Control Systems Technology , vol.1 , Issue.1 , pp. 37-49
    • Kuschewski, J.G.1    Hui, S.2    Zak, S.H.3
  • 13
    • 0025399567 scopus 로고
    • Identification and control of dynamical systems using neural networks
    • Narendra K. S., Parthasarathy K. Identification and control of dynamical systems using neural networks. IEEE Transactions on Neural Networks. 1(1):1990;4-27.
    • (1990) IEEE Transactions on Neural Networks , vol.1 , Issue.1 , pp. 4-27
    • Narendra, K.S.1    Parthasarathy, K.2
  • 14
    • 0028391673 scopus 로고
    • Application of the recurrent multilayer perceptron in modeling complex process dynamics
    • Parlos A. G., Chong K. T., Atiya A. F. Application of the recurrent multilayer perceptron in modeling complex process dynamics. IEEE Transactions on Neural Networks. 5(2):1994;255-266.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , Issue.2 , pp. 255-266
    • Parlos, A.G.1    Chong, K.T.2    Atiya, A.F.3
  • 18
    • 0028292832 scopus 로고
    • Minimisation methods for training feedforward neural networks
    • Van der Smagt P. P. Minimisation methods for training feedforward 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
  • 19
    • 0025488663 scopus 로고
    • 30 Years of adaptive neural networks: Perceptron, madaline, and backpropagation
    • Widrow B., Lehr M. A. 30 Years of adaptive neural networks: Perceptron, madaline, and backpropagation. Proceedings of the IEEE. 78(9):1990;1415-1439.
    • (1990) Proceedings of the IEEE , vol.78 , Issue.9 , pp. 1415-1439
    • Widrow, B.1    Lehr, M.A.2
  • 20
    • 0004503125 scopus 로고
    • Adaptive state representation and estimation using recurrent connectionist networks
    • London: MIT Press
    • Williams, R. J. (1990). Adaptive state representation and estimation using recurrent connectionist networks. In Neural Networks for Control (pp. 97-115). London: MIT Press.
    • (1990) In Neural Networks for Control , pp. 97-115
    • Williams, R.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.