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Volumn 79, Issue 1, 1996, Pages 113-126

Enhancing the non-linear modelling capabilities of MLP neural networks using spread encoding

Author keywords

Fuzzy neural networks; Non linear process modelling; Non linear system identification; Production and process control

Indexed keywords

ALGORITHMS; BACKPROPAGATION; COMPUTER SIMULATION; ENCODING (SYMBOLS); FUZZY SETS; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; NONLINEAR PROGRAMMING; PROCESS CONTROL; PRODUCTION CONTROL;

EID: 0030574990     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/0165-0114(95)00294-4     Document Type: Article
Times cited : (11)

References (11)
  • 1
    • 0026849117 scopus 로고
    • Determining model structure for neural models by network stripping
    • N.V. Bhat and T.J. McAvoy, Determining model structure for neural models by network stripping, Comput. Chem. Eng. 16 (1992) 271-281.
    • (1992) Comput. Chem. Eng. , vol.16 , pp. 271-281
    • Bhat, N.V.1    McAvoy, T.J.2
  • 2
    • 84877479752 scopus 로고
    • Properties of neural networks with applications to modelling non-linear dynamical systems
    • S.A. Billings, H.B. Jamaluddin and S. Chen, Properties of neural networks with applications to modelling non-linear dynamical systems, Int. J. Control 55 (1992) 193-224
    • (1992) Int. J. Control , vol.55 , pp. 193-224
    • Billings, S.A.1    Jamaluddin, H.B.2    Chen, S.3
  • 3
    • 0022752513 scopus 로고
    • Correlation based model validity tests for non-linear models
    • S.A. Billings and W.S.F. Voon, Correlation based model validity tests for non-linear models, Int. J. Control 44 (1986) 235-244.
    • (1986) Int. J. Control , vol.44 , pp. 235-244
    • Billings, S.A.1    Voon, W.S.F.2
  • 4
    • 0024861871 scopus 로고
    • Approximations by superposition of a sigmoidal function
    • G. Cybenko, Approximations by superposition of a sigmoidal function. Math. Control Signal Systems 2 (1989) 303-314.
    • (1989) Math. Control Signal Systems , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 8
    • 16344370229 scopus 로고
    • Development of a neural network model based controller for a non-linear process application
    • Liverpool, England IEEE Computer Society Press, CA
    • J.B. Gomm, J.T. Evans, D. Williams and P.J.G. Lisboa, Development of a neural network model based controller for a non-linear process application, Proc. Workshop on Neural Network Applications and Tools, Liverpool, England (IEEE Computer Society Press, CA, 1994) 109-117.
    • (1994) Proc. Workshop on Neural Network Applications and Tools , pp. 109-117
    • Gomm, J.B.1    Evans, J.T.2    Williams, D.3    Lisboa, P.J.G.4
  • 9
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • K. Hornik, M. Stinchcombe and H. White, 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
  • 10
    • 0040287998 scopus 로고
    • Artificial neural network models of knowledge representation in chemical engineering
    • J.C. Hoskins and D.M. Himmelblau, Artificial neural network models of knowledge representation in chemical engineering, Comput. Chem. Eng. 12 (1988) 881-890.
    • (1988) Comput. Chem. Eng. , vol.12 , pp. 881-890
    • Hoskins, J.C.1    Himmelblau, D.M.2
  • 11
    • 0026219567 scopus 로고
    • Neural networks for nonlinear internal model control
    • K.J. Hunt and D. Sbarbaro, Neural networks for nonlinear internal model control, IEE Proc. D 138 (1991) 431-438.
    • (1991) IEE Proc. D , vol.138 , pp. 431-438
    • Hunt, K.J.1    Sbarbaro, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.