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Volumn 10, Issue 4, 2002, Pages 289-299

Enhanced neural network modelling for a real multi-variable chemical process

Author keywords

MIMO chemical systems; Neural network modelling; Nonlinear system identification; Radial Basis Function Networks; Recursive Orthogonal Least Squares

Indexed keywords


EID: 26044440673     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s005210200001     Document Type: Article
Times cited : (15)

References (20)
  • 1
    • 0025399567 scopus 로고
    • Identification and control of dynamic systems using neural networks
    • Narendra KS, Parthasarathy K. Identification and control of dynamic systems using neural networks. IEEE Trans Neural Networks 1990; 1: 4-27
    • (1990) IEEE Trans Neural Networks , vol.1 , pp. 4-27
    • Narendra, K.S.1    Parthasarathy, K.2
  • 3
    • 0025010309 scopus 로고
    • Use of neural nets for dynamic modelling and control of chemical process systems
    • Bhat N, McAvoy TJ. Use of neural nets for dynamic modelling and control of chemical process systems. Computer Chemical Engineering 1990; 14(4/5): 573-583
    • (1990) Computer Chemical Engineering , vol.14 , Issue.4-5 , pp. 573-583
    • Bhat, N.1    McAvoy, T.J.2
  • 4
    • 0027928308 scopus 로고
    • Neural network modelling of a polymerisation reactor
    • Coventry, UK
    • Lightbody G, Irwin GW. Neural network modelling of a polymerisation reactor. Proc IEE Int Conf Control'94, Coventry, UK, 1994; 1: 237-242
    • (1994) Proc IEE Int Conf Control'94 , vol.1 , pp. 237-242
    • Lightbody, G.1    Irwin, G.W.2
  • 5
    • 0029407860 scopus 로고
    • Fuzzy neural networks for nonlinear systems modelling
    • Zhang J, Morris AJ. Fuzzy neural networks for nonlinear systems modelling. IEE Proc Part D 1995; 142(6): 551-561
    • (1995) IEE Proc Part D , vol.142 , Issue.6 , pp. 551-561
    • Zhang, J.1    Morris, A.J.2
  • 6
    • 0030574990 scopus 로고    scopus 로고
    • Enhancing the non-linear modelling capabilities of MLP neural networks using spread encoding
    • Gomm JB, Williams D, Evans JT, Doherty SK, Lisboa PJG. Enhancing the non-linear modelling capabilities of MLP neural networks using spread encoding. Fuzzy Sets and Systems 1996; 79(1): 113-126
    • (1996) Fuzzy Sets and Systems , vol.79 , Issue.1 , pp. 113-126
    • Gomm, J.B.1    Williams, D.2    Evans, J.T.3    Doherty, S.K.4    Lisboa, P.J.G.5
  • 7
    • 0023104537 scopus 로고
    • Model selection and validation methods for non-linear systems
    • Leontaritis IJ, Billings SA. Model selection and validation methods for non-linear systems. Int J Control 1987; 45(1): 311-341
    • (1987) Int J Control , vol.45 , Issue.1 , pp. 311-341
    • Leontaritis, I.J.1    Billings, S.A.2
  • 8
    • 0024866495 scopus 로고
    • On the approximate realisation of continuous mappings by neural networks
    • Funahashi KI. On the approximate realisation of continuous mappings by neural networks. Neural Networks 1989; 2: 183-192
    • (1989) Neural Networks , vol.2 , pp. 183-192
    • Funahashi, K.I.1
  • 9
    • 0024861871 scopus 로고
    • Approximation by superpositions of a sigmoidal function
    • Cybenko G. Approximation by superpositions of a sigmoidal function. Math. Control Signal Systems 1989; 2: 303-314
    • (1989) Math. Control Signal Systems , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 10
    • 0030787191 scopus 로고    scopus 로고
    • Experiment design considerations for non-linear system identification using neural networks
    • Doherty SK, Gomm JB, Williams D. Experiment design considerations for non-linear system identification using neural networks. Computers Chemical Engineering 1997; 21(3): 327-346
    • (1997) Computers Chemical Engineering , vol.21 , Issue.3 , pp. 327-346
    • Doherty, S.K.1    Gomm, J.B.2    Williams, D.3
  • 11
    • 0030411447 scopus 로고    scopus 로고
    • A new model structure selection method for non-linear systems in neural modelling
    • Exeter, UK
    • Gomm JB, Yu DL, Williams D. A new model structure selection method for non-linear systems in neural modelling, Proc UKACC Control'96, Exeter, UK 1996; 752-757
    • (1996) Proc UKACC Control'96 , pp. 752-757
    • Gomm, J.B.1    Yu, D.L.2    Williams, D.3
  • 12
    • 0342640633 scopus 로고    scopus 로고
    • Selection of model order and time-delay for MIMO non-linear systems and a case study on a CSTR process
    • Fukuoka, Japan
    • Yu DL, Gomm JB, Williams D. Selection of model order and time-delay for MIMO non-linear systems and a case study on a CSTR process. Proc IFAC Symposium SYSID'97, Fukuoka, Japan, 1997; 1: 213-218
    • (1997) Proc IFAC Symposium SYSID'97 , vol.1 , pp. 213-218
    • Yu, D.L.1    Gomm, J.B.2    Williams, D.3
  • 13
    • 0024047911 scopus 로고
    • Orthogonal parameter estimation algorithm for nonlinear stochastic systems
    • Korenberg MJ, Billings SA, Liu YP, McIloy PJ. Orthogonal parameter estimation algorithm for nonlinear stochastic systems. Int J Control 1988; 48: 193-210
    • (1988) Int J Control , vol.48 , pp. 193-210
    • Korenberg, M.J.1    Billings, S.A.2    Liu, Y.P.3    McIloy, P.J.4
  • 14
    • 84947626826 scopus 로고
    • Recursive hybrid algorithm for non-linear system identification using radial basis function networks
    • Chen S, Billings SA, Grant PM. Recursive hybrid algorithm for non-linear system identification using radial basis function networks. Int J Control 1992; 55(5): 1151-1070
    • (1992) Int J Control , vol.55 , Issue.5 , pp. 1151-11070
    • Chen, S.1    Billings, S.A.2    Grant, P.M.3
  • 15
    • 0000847769 scopus 로고
    • Least squares computations by Givens transformations without square roots
    • Gentleman WE. Least squares computations by Givens transformations without square roots. J Inst Maths and Applications 1973; 12: 329-336
    • (1973) J Inst Maths and Applications , vol.12 , pp. 329-336
    • Gentleman, W.E.1
  • 16
    • 0031170740 scopus 로고    scopus 로고
    • A recursive orthogonal least squares algorithm for training RBF networks
    • Yu DL, Gomm JB, Williams D. A recursive orthogonal least squares algorithm for training RBF networks. Neural Processing Letters 1997; 5: 167-176
    • (1997) Neural Processing Letters , vol.5 , pp. 167-176
    • Yu, D.L.1    Gomm, J.B.2    Williams, D.3
  • 18
    • 0029373360 scopus 로고
    • On the persistency of excitation in radial basis function network identification of nonlinear systems
    • Gorinevsky D. On the persistency of excitation in radial basis function network identification of nonlinear systems. IEEE Trans Neural Networks 1995; 6(5): 1237-1244
    • (1995) IEEE Trans Neural Networks , vol.6 , Issue.5 , pp. 1237-1244
    • Gorinevsky, D.1
  • 19
    • 0033732354 scopus 로고    scopus 로고
    • Selecting radial basis function network centres with recursive orthogonal least squares training
    • Gomm JB, Yu DL. Selecting radial basis function network centres with recursive orthogonal least squares training. IEEE Trans Neural Networks 1999; 11(2): 306-314
    • (1999) IEEE Trans Neural Networks , vol.11 , Issue.2 , pp. 306-314
    • Gomm, J.B.1    Yu, D.L.2
  • 20
    • 0006287217 scopus 로고    scopus 로고
    • On-line predictive control of a chemical process using neural network models
    • Beijing China, 5-9 July
    • Yu DL, Gomm JB, Williams D. On-line predictive control of a chemical process using neural network models. Proc IFAC 14th Congress, Beijing China, 5-9 July 1999; 1: 121-126
    • (1999) Proc IFAC 14th Congress , vol.1 , pp. 121-126
    • Yu, D.L.1    Gomm, J.B.2    Williams, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.