-
1
-
-
0028381852
-
Case study of grey box identification
-
T. Bohlin, Case study of grey box identification, Automatica 30 (2) (1994) 307-318.
-
(1994)
Automatica
, vol.30
, Issue.2
, pp. 307-318
-
-
Bohlin, T.1
-
2
-
-
0024771664
-
Orthogonal least squares methods and their application to non-linear system identification
-
S. Chen, S.A. Billings, W. Luo, Orthogonal least squares methods and their application to non-linear system identification, Int. J. Control 50 (5) (1989) 1873-1896.
-
(1989)
Int. J. Control
, vol.50
, Issue.5
, pp. 1873-1896
-
-
Chen, S.1
Billings, S.A.2
Luo, W.3
-
3
-
-
0026116468
-
Orthogonal least squares learning algorithm for radial basis function networks
-
S. Chen, C.F.N. Cowan, P.M. Grant, Orthogonal least squares learning algorithm for radial basis function networks, IEEE Trans. Neural Networks 2 (2) (1991) 302-309.
-
(1991)
IEEE Trans. Neural Networks
, vol.2
, Issue.2
, pp. 302-309
-
-
Chen, S.1
Cowan, C.F.N.2
Grant, P.M.3
-
4
-
-
79960727064
-
Two applications of eng-genes bases nonlinear identification
-
World Congress
-
P.J. Connally, K. Li, G.W. Irwin, Two applications of eng-genes bases nonlinear identification, in: Proceedings of the 16th IFAC World Congress, 2005.
-
(2005)
Proceedings of the 16th IFAC
-
-
Connally, P.J.1
Li, K.2
Irwin, G.W.3
-
5
-
-
33845987405
-
Prediction- and simulation-error based perceptron training: Solution space analysis and a novel combined training scheme
-
P.J. Connally, K. Li, G.W. Irwin, Prediction- and simulation-error based perceptron training: Solution space analysis and a novel combined training scheme, Neurocomputing 70 (4-6) (2007) 819-827.
-
(2007)
Neurocomputing
, vol.70
, Issue.4-6
, pp. 819-827
-
-
Connally, P.J.1
Li, K.2
Irwin, G.W.3
-
6
-
-
0024866495
-
On the approximate realization of continuous mappings by neural networks
-
K.I. Funahashi, On the approximate realization of continuous mappings by neural networks, Neural Networks 2 (1989) 183-192.
-
(1989)
Neural Networks
, vol.2
, pp. 183-192
-
-
Funahashi, K.I.1
-
7
-
-
0028543366
-
Training feedforward networks with the Marquardt algorithm
-
M.H. Hagan, M.B. Menhaj, Training feedforward networks with the Marquardt algorithm, IEEE Trans. Neural Networks 5 (6) (1994) 989-993.
-
(1994)
IEEE Trans. Neural Networks
, vol.5
, Issue.6
, pp. 989-993
-
-
Hagan, M.H.1
Menhaj, M.B.2
-
8
-
-
0024914230
-
Modelling and self-tuning control of a multivariable pH neutralization process. I. Modelling and multiloop control
-
R.C. Hall, D.E. Seborg, Modelling and self-tuning control of a multivariable pH neutralization process. I. Modelling and multiloop control, in: Proceedings of the 1989 American Control Conference, 1989, pp. 1822-1827.
-
(1989)
Proceedings of the 1989 American Control Conference
, pp. 1822-1827
-
-
Hall, R.C.1
Seborg, D.E.2
-
9
-
-
13844256702
-
A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation
-
G.B. Huang, P. Saratchandran, N. Sundararajan, A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation, IEEE Trans. Neural Networks 16 (1) (2005).
-
(2005)
IEEE Trans. Neural Networks
, vol.16
, Issue.1
-
-
Huang, G.B.1
Saratchandran, P.2
Sundararajan, N.3
-
10
-
-
0025447562
-
Simple procedure for pruning back-propagation trained neural networks
-
E.D. Karnin, Simple procedure for pruning back-propagation trained neural networks, IEEE Trans. Neural Networks 1 (2) (1990) 239-242.
-
(1990)
IEEE Trans. Neural Networks
, vol.1
, Issue.2
, pp. 239-242
-
-
Karnin, E.D.1
-
11
-
-
0001321136
-
On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition
-
A.N. Kolmogorov, On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition, Dokl. Akad. Nauk USSR 114 (1957) 953-956.
-
(1957)
Dokl. Akad. Nauk USSR
, vol.114
, pp. 953-956
-
-
Kolmogorov, A.N.1
-
12
-
-
0000039861
-
Conjugate gradient method for optimal control problems
-
L.S. Lasdon, S.K. Mitter, A.D. Waren, Conjugate gradient method for optimal control problems, IEEE Trans. Autom. Control AC-12 (2) (1967) 132-138.
-
(1967)
IEEE Trans. Autom. Control
, vol.AC-12
, Issue.2
, pp. 132-138
-
-
Lasdon, L.S.1
Mitter, S.K.2
Waren, A.D.3
-
13
-
-
0000494466
-
-
Morgan Kaufmann, San Mateo, CA
-
Y. Le Cun, J.S. Denker, S.A. Solla, Advances in Neural Information Processing Systems, vol. 2, Morgan Kaufmann, San Mateo, CA, 1989, pp. 598-605.
-
(1989)
Advances in Neural Information Processing Systems
, vol.2
, pp. 598-605
-
-
Le Cun, Y.1
Denker, J.S.2
Solla, S.A.3
-
14
-
-
0025403609
-
Improvement of the back-propagation algorithm for training neural networks
-
J.A. Leonard, M.A. Kramer, Improvement of the back-propagation algorithm for training neural networks, Comput. Chem. Eng. 14 (1990) 337-341.
-
(1990)
Comput. Chem. Eng
, vol.14
, pp. 337-341
-
-
Leonard, J.A.1
Kramer, M.A.2
-
15
-
-
79960729016
-
Eng-genes: A new genetic modelling approach for nonlinear dynamic systems
-
World Congress
-
K. Li, Eng-genes: A new genetic modelling approach for nonlinear dynamic systems, in: Proceedings of the 16th IFAC World Congress, 2005.
-
(2005)
Proceedings of the 16th IFAC
-
-
Li, K.1
-
16
-
-
33645127005
-
System oriented neural networks - problem formulation, methodology and application
-
K. Li, J.X. Peng, System oriented neural networks - problem formulation, methodology and application, Int. J. Pattern Recognition Artif. Intell. 20 (2) (2006) 143-158.
-
(2006)
Int. J. Pattern Recognition Artif. Intell
, vol.20
, Issue.2
, pp. 143-158
-
-
Li, K.1
Peng, J.X.2
-
17
-
-
26244441991
-
A fast nonlinear model identification method
-
K. Li, J.X. Peng, G.W. Irwin, A fast nonlinear model identification method, IEEE Trans. Autom. Control 50 (8) (2005) 1211-1216.
-
(2005)
IEEE Trans. Autom. Control
, vol.50
, Issue.8
, pp. 1211-1216
-
-
Li, K.1
Peng, J.X.2
Irwin, G.W.3
-
18
-
-
2342644856
-
x emission in a coal-fired power generation plant
-
x emission in a coal-fired power generation plant, Control Eng. Pract. 12 (6) (2004) 707-723.
-
(2004)
Control Eng. Pract
, vol.12
, Issue.6
, pp. 707-723
-
-
Li, K.1
Thompson, S.2
Peng, J.X.3
-
19
-
-
0025546834
-
An adaptive nonlinear predictive controller
-
J.D. Morningred, B.E. Paden, D.E. Seborg, D.A. Mellichamp, An adaptive nonlinear predictive controller, in: Proceedings of American Control Conference, vol. 2, 1990, pp. 1614-1619.
-
(1990)
Proceedings of American Control Conference
, vol.2
, pp. 1614-1619
-
-
Morningred, J.D.1
Paden, B.E.2
Seborg, D.E.3
Mellichamp, D.A.4
-
20
-
-
0343041788
-
-
Morgan Kaufmann, San Mateo, CA
-
M.C. Mozer, P. Smolensky, Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment, Morgan Kaufmann, San Mateo, CA, 1989, pp. 524-532.
-
(1989)
Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment
, pp. 524-532
-
-
Mozer, M.C.1
Smolensky, P.2
-
21
-
-
33847421698
-
A novel continuous forward algorithm for RBF neural modelling
-
J.X. Peng, K. Li, G.W. Irwin, A novel continuous forward algorithm for RBF neural modelling, IEEE Trans. Autom. Control 52 (1) (2007) 117-122.
-
(2007)
IEEE Trans. Autom. Control
, vol.52
, Issue.1
, pp. 117-122
-
-
Peng, J.X.1
Li, K.2
Irwin, G.W.3
-
22
-
-
0026806616
-
A hybrid neural network - first principles approach to process modeling
-
D.C. Psichogios, L.H. Ungar, A hybrid neural network - first principles approach to process modeling, AIChE 38 (1992) 1499-1511.
-
(1992)
AIChE
, vol.38
, pp. 1499-1511
-
-
Psichogios, D.C.1
Ungar, L.H.2
|