-
2
-
-
0004197136
-
-
John Wiley & Sons, New York
-
PRINCIPE, J. C., EULIANO, N. R., and LEFEBVRE, W. C.: ‘Neural and adaptive systems: fundamentals through simulations’ (John Wiley & Sons, New York, 1999)
-
(1999)
Neural and adaptive systems: Fundamentals through simulations
-
-
Principe, J.C.1
Euliano, N.R.2
Lefebvre, W.C.3
-
5
-
-
0003766292
-
-
Springer-Verlag, Berlin
-
HARRIS, C., HONG, X., and GAN, Q.: ‘Adaptive modelling, estimation and fusion from data: a neurofuzzy approach’ (Springer-Verlag, Berlin, 2002)
-
(2002)
Adaptive modelling, estimation and fusion from data: A neurofuzzy approach
-
-
Harris, C.1
Hong, X.2
Gan, Q.3
-
6
-
-
0003444646
-
-
the PDP Research Group, MIT Press, Cambridge, MA
-
RUMELHART, D., McCLELLAND, J., and the PDP Research Group: ‘Parallel distributed processing, vol. 1’ (MIT Press, Cambridge, MA, 1986)
-
(1986)
Parallel distributed processing, vol. 1
-
-
Rumelhart, D.1
McClelland, J.2
-
7
-
-
0024866495
-
On the approximate realization of continuous mappings by neural networks
-
FUNAHASHI, K.: ‘On the approximate realization of continuous mappings by neural networks’, Neural Networks, 1989, 2, pp. 183-92
-
(1989)
Neural Networks
, vol.2
, pp. 183-192
-
-
Funahashi, K.1
-
8
-
-
0024880831
-
Multilayer feedforward networks are universal approximators
-
HORNIK, K., STINCHCOMBE, M., and WHITE, H.: ‘Multilayer feedforward networks are universal approximators’, Neural Networks, 1989, 2, pp. 359-66
-
(1989)
Neural Networks
, vol.2
, pp. 359-366
-
-
Hornik, K.1
Stinchcombe, M.2
White, H.3
-
9
-
-
0000621802
-
Multivariable functional interpolation and adaptive networks
-
BROOMHEAD, D., and LOWE, D.: ‘Multivariable functional interpolation and adaptive networks’, Complex Systems, 1988, 2, pp. 321-55
-
(1988)
Complex Systems
, vol.2
, pp. 321-355
-
-
Broomhead, D.1
Lowe, D.2
-
10
-
-
0024991997
-
Networks and the best approximation property
-
GIROSI, F., and POGGIO, T.: ‘Networks and the best approximation property’, Biological Cybernetics, 1990, 63, pp. 169-76
-
(1990)
Biological Cybernetics
, vol.63
, pp. 169-176
-
-
Girosi, F.1
Poggio, T.2
-
12
-
-
0023541050
-
-
Proceedings of first IEEE international conference on Neural networks, San Diego, USA
-
WATROUS, R.: ‘Learning algorithms for connectionist networks: applied gradient methods of nonlinear optimization’. Proceedings of first IEEE international conference on Neural networks, San Diego, USA, 1987, vol. 2, pp. 619-27
-
(1987)
Learning algorithms for connectionist networks: Applied gradient methods of nonlinear optimization
, vol.2
, pp. 619-627
-
-
Watrous, R.1
-
13
-
-
0024137490
-
Increased rates of convergence through learning rate adaptation
-
JACOBS, R.: ‘Increased rates of convergence through learning rate adaptation’, Neural Networks, 1988, 1, pp. 295-307
-
(1988)
Neural Networks
, vol.1
, pp. 295-307
-
-
Jacobs, R.1
-
14
-
-
0025403609
-
Improvement of the backpropagation algorithm for training neural networks
-
LEONARD, J., and KRAMER, M. A.: ‘Improvement of the backpropagation algorithm for training neural networks’, Computers and Chemical Engineering, 1990, 14 (3), pp. 337-41
-
(1990)
Computers and Chemical Engineering
, vol.14
, Issue.3
, pp. 337-341
-
-
Leonard, J.1
Kramer, M.A.2
-
15
-
-
0004240547
-
-
Academic Press Limited, London
-
GILL, P., MURRAY, W., and WRIGHT, M.: ‘Practical optimization’ (Academic Press Limited, London, 1981)
-
(1981)
Practical optimization
-
-
Gill, P.1
Murray, W.2
Wright, M.3
-
16
-
-
0000873069
-
A method for the solution of certain problems in least squares
-
LEVENBERG, K.: ‘A method for the solution of certain problems in least squares’, Quarterly Applied Mathematics, 1944, 2, pp. 164-8
-
(1944)
Quarterly Applied Mathematics
, vol.2
, pp. 164-168
-
-
Levenberg, K.1
-
17
-
-
0000169232
-
An algorithm for least-squares estimation of nonlinear parameters
-
MARQUARDT, D.: ‘An algorithm for least-squares estimation of nonlinear parameters’, SIAM Journal of Applied Mathematics, 1963, 11, pp. 431-41
-
(1963)
SIAM Journal of Applied Mathematics
, vol.11
, pp. 431-441
-
-
Marquardt, D.1
-
18
-
-
0025897798
-
A connectionist approach to PID autotuning
-
Edinburgh, UK
-
RUANO, A. E., FLEMING, P. J., and JONES, D.: ‘A connectionist approach to PID autotuning’. Proceedings of IEE international conference on CONTROL 91, Edinburgh, UK, 1991, vol. 2, pp. 762-7
-
(1991)
Proceedings of IEE international conference on CONTROL 91
, vol.2
, pp. 762-767
-
-
Ruano, A.E.1
Fleming, P.J.2
Jones, D.3
-
19
-
-
84962427414
-
Exploiting the separability of linear and nonlinear parameters in radial basis function networks
-
Lake Louise, Canada
-
FERREIRA, P. M., and RUANO, A. E.: ‘Exploiting the separability of linear and nonlinear parameters in radial basis function networks’. Proceedings symposium 2000 on Adaptive systems for signal processing, communications and control (ASSPCC), Lake Louise, Canada, 2000, pp. 321-6
-
(2000)
Proceedings symposium 2000 on Adaptive systems for signal processing, communications and control (ASSPCC)
, pp. 321-326
-
-
Ferreira, P.M.1
Ruano, A.E.2
-
20
-
-
0037142695
-
Supervised training algorithms for B-spline neural networks and neuro-fuzzy systems
-
RUANO, A. E., CABRITA, C., OLIVEIRA, J. V., and KÓCZY, L. T.:‘Supervised training algorithms for B-spline neural networks and neuro-fuzzy systems’, International Journal of Systems Science, 2002, 33 (8), pp. 689-711
-
(2002)
International Journal of Systems Science
, vol.33
, Issue.8
, pp. 689-711
-
-
Ruano, A.E.1
Cabrita, C.2
Oliveira, J.V.3
Kóczy, L.T.4
-
21
-
-
0026677445
-
-
Proceedings of the thirtieth IEEE conference on Decision and control, Brighton, England
-
RUANO, A. E., JONES, D., and FLEMING, P. J.: ‘A new formulation of the learning problem for a neural network controller’. Proceedings of the thirtieth IEEE conference on Decision and control, Brighton, England, 1991, vol. 1, pp. 865-6
-
(1991)
A new formulation of the learning problem for a neural network controller
, vol.1
, pp. 865-866
-
-
Ruano, A.E.1
Jones, D.2
Fleming, P.J.3
-
23
-
-
0033362601
-
Evolving artificial neural networks
-
YAO, X.: ‘Evolving artificial neural networks’, Proceedings of the IEEE, 1999, 87 (9), pp. 1423-47
-
(1999)
Proceedings of the IEEE
, vol.87
, Issue.9
, pp. 1423-1447
-
-
Yao, X.1
-
24
-
-
0000783575
-
The upstar algorithm: A method for constructing and training feedforward neural networks
-
FREAN, M.: ‘The upstar algorithm: a method for constructing and training feedforward neural networks’, Neural Computation, 1990, 2 (2), pp. 198-209
-
(1990)
Neural Computation
, vol.2
, Issue.2
, pp. 198-209
-
-
Frean, M.1
-
25
-
-
0025488663
-
30 years of adaptive neural networks:Perceptron, madaline and backpropagation
-
WIDROW, B., and LEHR, M. A.: '30 years of adaptive neural networks:perceptron, madaline and backpropagation’, Proceedings of the IEEE, 1990, 78 (9), pp. 1415-42
-
(1990)
Proceedings of the IEEE
, vol.78
, Issue.9
, pp. 1415-1442
-
-
Widrow, B.1
Lehr, M.A.2
-
26
-
-
0000672424
-
Fast learning in networks of locally-tuned processing units
-
MOODY, J., and DARKEN, C. J.: ‘Fast learning in networks of locally-tuned processing units’, Neural Computation, 1989, 1, pp. 281-94
-
(1989)
Neural Computation
, vol.1
, pp. 281-294
-
-
Moody, J.1
Darken, C.J.2
-
27
-
-
85014215563
-
-
Proceedings of IFAC World Congress, San Francisco, CA, USA
-
NELLES, O., and ISERMANN, R.: ‘A new technique for determination of hidden layer parameters in RBF networks’. Proceedings of IFAC World Congress, San Francisco, CA, USA, 1996, pp. 453-7
-
(1996)
A new technique for determination of hidden layer parameters in RBF networks
, pp. 453-457
-
-
Nelles, O.1
Isermann, R.2
-
28
-
-
0029196051
-
Optimal adaptive k-means algorithm with dynamic adjustment of learning rate
-
CHINRUNGRUENG, C., and SQUIN, C. H.: ‘Optimal adaptive k-means algorithm with dynamic adjustment of learning rate’, IEEE Transactions on Neural Networks, 1995, 6 (1), pp. 157-69
-
(1995)
IEEE Transactions on Neural Networks
, vol.6
, Issue.1
, pp. 157-169
-
-
Chinrungrueng, C.1
Squin, C.H.2
-
29
-
-
84876395396
-
Comparison of off-line and on-line performance of alternative neural network models
-
(IPMU 2000), Madrid, Spain
-
LIMA, J. M., and RUANO, A. E.: ‘Comparison of off-line and on-line performance of alternative neural network models’. Proceedings on Information processing and management of uncertainity in knowledge based systems (IPMU 2000), Madrid, Spain, 2000, vol. 2, pp. 1219-25
-
(2000)
Proceedings on Information processing and management of uncertainity in knowledge based systems
, vol.2
, pp. 1219-1225
-
-
Lima, J.M.1
Ruano, A.E.2
-
30
-
-
0028014924
-
Aspects of on-line learning rules
-
AN, P. E., BROWN, M., and HARRIS, C. J.: ‘Aspects of on-line learning rules’. Proceedings of IEE international conference on CONTROL 94, 1994, vol. 1, pp. 646-51
-
(1994)
Proceedings of IEE international conference on CONTROL 94
, vol.1
, pp. 646-651
-
-
An, P.E.1
Brown, M.2
Harris, C.J.3
-
32
-
-
33846451627
-
A learning method for system identification
-
NAGUNO, J. I., and NODA, A.: ‘A learning method for system identification’, IEEE Transactions on Automatic Control, 1967, 12 (3), pp. 282-8
-
(1967)
IEEE Transactions on Automatic Control
, vol.12
, Issue.3
, pp. 282-288
-
-
Naguno, J.I.1
Noda, A.2
-
33
-
-
0026925086
-
A comparison of five algorithms for the training of CMAC memories for learning control systems
-
PARKS, P. C., and MILITZER, J.: ‘A comparison of five algorithms for the training of CMAC memories for learning control systems’, Automatica, 1992, 28 (5), pp. 1027-35
-
(1992)
Automatica
, vol.28
, Issue.5
, pp. 1027-1035
-
-
Parks, P.C.1
Militzer, J.2
-
35
-
-
0032679273
-
A dynamic regularized radial basis function network for nonlinear, nonstationary time series prediction
-
YEE, P., and HAYKIN, S.: ‘A dynamic regularized radial basis function network for nonlinear, nonstationary time series prediction’, IEEE Transactions on Signal Processing, 1999, 47 (9), pp. 2503-21
-
(1999)
IEEE Transactions on Signal Processing
, vol.47
, Issue.9
, pp. 2503-2521
-
-
Yee, P.1
Haykin, S.2
-
36
-
-
84996565038
-
Learning rate schedules for faster stochastic gradient search
-
KUNG, S. Y., FALLSIDE, F., SØRENSEN, J. A., andKRAMM, C. A. (Eds), IEEE Press, Piscataway, NJ
-
DARKEN, C., CHANG, J., and MOODY, J.: ‘Learning rate schedules for faster stochastic gradient search’, in KUNG, S. Y., FALLSIDE, F., SØRENSEN, J. A., andKRAMM, C. A. (Eds): ‘Neural networks for signal processing, vol. 2’ (IEEE Press, Piscataway, NJ, 1992) pp. 3-13
-
(1992)
Neural networks for signal processing, vol. 2
, pp. 3-13
-
-
Darken, C.1
Chang, J.2
Moody, J.3
-
37
-
-
0001031887
-
An adaptive training algorithm for backpropagation networks
-
CHAN, L. W., and FALLSIDE, F.: ‘An adaptive training algorithm for backpropagation networks’, Computer Speech and Language, 1987, 2, pp. 205-18
-
(1987)
Computer Speech and Language
, vol.2
, pp. 205-218
-
-
Chan, L.W.1
Fallside, F.2
-
38
-
-
0001209372
-
Accelerated backpropagation learning: Two optimization methods
-
BATITI, R.: ‘Accelerated backpropagation learning: two optimization methods’, Complex Systems, 1989, 3, pp. 331-42
-
(1989)
Complex Systems
, vol.3
, pp. 331-342
-
-
Batiti, R.1
-
39
-
-
0024613194
-
Recursive prediction error parameter estimator for non-linear models
-
CHEN, S., and BILLINGS, S. A.: ‘Recursive prediction error parameter estimator for non-linear models’, International Journal of Control, 1989, 49 (2), pp. 569-94
-
(1989)
International Journal of Control
, vol.49
, Issue.2
, pp. 569-594
-
-
Chen, S.1
Billings, S.A.2
-
40
-
-
0033716744
-
Efficient training of neural nets for nonlinear adaptive filtering using a recursive Levenberg-Marquardt algorithm
-
NGIA, L. S. H., and SJÖBERG, J.: ‘Efficient training of neural nets for nonlinear adaptive filtering using a recursive Levenberg-Marquardt algorithm’, IEEE Transactions on Signal Processing, 2000, 48 (7), pp. 1915-26
-
(2000)
IEEE Transactions on Signal Processing
, vol.48
, Issue.7
, pp. 1915-1926
-
-
Ngia, L.S.H.1
Sjöberg, J.2
-
41
-
-
0025449162
-
Parallel recursive prediction error algorithm for training layered networks
-
CHEN, S., COWAN, C. F. N., BILLINGS, S. A., and GRANT, P. M.: ‘Parallel recursive prediction error algorithm for training layered networks’, International Journal of Control, 1990, 51 (6), pp. 1215-28
-
(1990)
International Journal of Control
, vol.51
, Issue.6
, pp. 1215-1228
-
-
Chen, S.1
Cowan, C.F.N.2
Billings, S.A.3
Grant, P.M.4
-
42
-
-
0001382203
-
Neural networks and nonlinear adaptive filtering: Unifying concepts and new algorithms
-
NERRAND, O., ROUSSEL-RAGOT, P., PERSONNAZ, L., DREFYS, G., and MARCOS, S.: ‘Neural networks and nonlinear adaptive filtering: unifying concepts and new algorithms’, Neural Computation, 1993, 5 (2), pp. 165-99
-
(1993)
Neural Computation
, vol.5
, Issue.2
, pp. 165-199
-
-
Nerrand, O.1
Roussel-Ragot, P.2
Personnaz, L.3
Drefys, G.4
Marcos, S.5
-
43
-
-
0036138323
-
Neural network models in greenhouse air temperature prediction
-
FERREIRA, P. M., FARIA, E. A., and RUANO, A. E.: ‘Neural network models in greenhouse air temperature prediction’, Neurocomputing, 2002, 43 (1), pp. 51-75
-
(2002)
Neurocomputing
, vol.43
, Issue.1
, pp. 51-75
-
-
Ferreira, P.M.1
Faria, E.A.2
Ruano, A.E.3
-
44
-
-
0025464263
-
Structure identification of nonlinear dynamic systems: A survey on input/output approaches
-
HABER, R., and UNBEHAUEN, H.: ‘Structure identification of nonlinear dynamic systems: a survey on input/output approaches’, Automatica, 1990, 26 (4), pp. 651-77
-
(1990)
Automatica
, vol.26
, Issue.4
, pp. 651-677
-
-
Haber, R.1
Unbehauen, H.2
-
46
-
-
0031701082
-
Multiobjective optimization and multiple constraint handling with evolutionary algorithms - part I: A unified formulation
-
FONSECA, C. M., and FLEMING, P. J.: ‘Multiobjective optimization and multiple constraint handling with evolutionary algorithms - part I: a unified formulation’, IEEE Transactions on Systems, Man, and Cybernetics - Part A, 1998, 28 (1), pp. 26-37
-
(1998)
IEEE Transactions on Systems, Man, and Cybernetics - Part A
, vol.28
, Issue.1
, pp. 26-37
-
-
Fonseca, C.M.1
Fleming, P.J.2
-
47
-
-
0031698375
-
Multiobjective optimization and multiple constraint handling with evolutionary algorithms - part II: Application example
-
FONSECA, C. M., and FLEMING, P. J.: ‘Multiobjective optimization and multiple constraint handling with evolutionary algorithms - part II: application example’, IEEE Transactions on Systems, Man, and Cybernetics - Part A, 1998, 28 (1), pp. 38-47
-
(1998)
IEEE Transactions on Systems, Man, and Cybernetics - Part A
, vol.28
, Issue.1
, pp. 38-47
-
-
Fonseca, C.M.1
Fleming, P.J.2
-
48
-
-
0003890671
-
-
John Wiley & Sons, New York
-
CHERKASSKY, V. S., and MULIER, F. M.: ‘Learning from data: concepts, theory, and methods’ (John Wiley & Sons, New York, 1998)
-
(1998)
Learning from data: Concepts, theory, and methods
-
-
Cherkassky, V.S.1
Mulier, F.M.2
-
49
-
-
0028428443
-
Regression modelling in back-propagation and project pursuit learning
-
HWANG, J., LAY, S., MAECHLER, M., DOUGLAS, R., and SCHIMET, J.:‘Regression modelling in back-propagation and project pursuit learning’, IEEE Transactions on Neural Networks, 1994, 5 (3), pp. 342-52
-
(1994)
IEEE Transactions on Neural Networks
, vol.5
, Issue.3
, pp. 342-352
-
-
Hwang, J.1
Lay, S.2
Maechler, M.3
Douglas, R.4
Schimet, J.5
-
50
-
-
0042214972
-
Combining explanatory projection pursuit and project pursuit regression with application to neural networks
-
INTRATOR, N.: ‘Combining explanatory projection pursuit and project pursuit regression with application to neural networks’, Neural Computation, 1993, 5 (3), pp. 443-57
-
(1993)
Neural Computation
, vol.5
, Issue.3
, pp. 443-457
-
-
Intrator, N.1
-
51
-
-
0000155950
-
The cascade-correlation learning architecture
-
TOURETZKY, D. S. (Ed.), Morgan Kaufman, San Francisco, CA, USA
-
FAHLMAN, S. E., and LEBIERE, C.: ‘The cascade-correlation learning architecture’, in TOURETZKY, D. S. (Ed.): ‘Advances in neural information processing systems, vol. 2’ (Morgan Kaufman, San Francisco, CA, USA, 1990), pp. 524-32
-
(1990)
Advances in neural information processing systems, vol. 2
, pp. 524-532
-
-
Fahlman, S.E.1
Lebiere, C.2
-
52
-
-
0027662338
-
Pruning algorithms: A survey
-
REED, R.: ‘Pruning algorithms: a survey’, IEEE Transactions on Neural Networks, 1993, 4 (5), pp. 740-7
-
(1993)
IEEE Transactions on Neural Networks
, vol.4
, Issue.5
, pp. 740-747
-
-
Reed, R.1
-
53
-
-
0000539096
-
Generalization by weight-elimination with application to forecasting
-
LIPPMANN, R., MOODY, J., and TOURETZKY, D. et al. (Eds), Morgan Kaufman, San Mateo, CA
-
WEIGEND, A. S., RUMELHART, D. E., and HUBERMAN, B. A.: ‘Generalization by weight-elimination with application to forecasting’, in LIPPMANN, R., MOODY, J., and TOURETZKY, D. et al. (Eds): ‘Advances in natural information processing, vol. 3’ (Morgan Kaufman, San Mateo, CA, 1991), pp. 875-82
-
(1991)
Advances in natural information processing, vol. 3
, pp. 875-882
-
-
Weigend, A.S.1
Rumelhart, D.E.2
Huberman, B.A.3
-
54
-
-
84899007626
-
Smoothing regularizers for projective basis function networks
-
NIPS 1996
-
MOODY, J. E., and ROGNVALDSSON, T.: ‘Smoothing regularizers for projective basis function networks’. Proceedings on Neural information processing systems (NIPS 1996), 1997, vol. 9, pp. 558-91
-
(1997)
Proceedings on Neural information processing systems
, vol.9
, pp. 558-591
-
-
Moody, J.E.1
Rognvaldsson, T.2
-
55
-
-
0000494466
-
Optimal brain damage
-
TOURETZKY, D. S. (Ed.), Morgan Kaufman, San Francisco, CA, USA
-
LeCUN, Y., DENKER, J., and SOLLA, S. A.: ‘Optimal brain damage’, in TOURETZKY, D. S. (Ed.): ‘Advances in neural information processing systems, vol. 2’ (Morgan Kaufman, San Francisco, CA, USA, 1990), pp. 918-24
-
(1990)
Advances in neural information processing systems, vol. 2
, pp. 918-924
-
-
Lecun, Y.1
Denker, J.2
Solla, S.A.3
-
56
-
-
84943270068
-
-
Proceedings of IEEE international conference on Neural networks
-
HASSIBI, B., STORK, D. G., and WOLFF, G. J.: ‘Optimal brain surgeon and general network pruning’. Proceedings of IEEE international conference on Neural networks, vol. 1, 1992, pp. 293-9
-
(1992)
Optimal brain surgeon and general network pruning
, vol.1
, pp. 293-299
-
-
Hassibi, B.1
Stork, D.G.2
Wolff, G.J.3
-
57
-
-
0026116468
-
Orthogonal least-squares learning algorithm for radial basis function networks
-
CHEN, S., COWAN, C. F. N., and GRANT, P. M.: ‘Orthogonal least-squares learning algorithm for radial basis function networks’, IEEE Transactions on Neural Networks, 1991, 2 (2), pp. 302-9
-
(1991)
IEEE Transactions on Neural Networks
, vol.2
, Issue.2
, pp. 302-309
-
-
Chen, S.1
Cowan, C.F.N.2
Grant, P.M.3
-
58
-
-
0024771664
-
Orthogonal least-squares and their application to nonlinear system identification
-
CHEN, S., BILLINGS, S. A., and LUO, W.: ‘Orthogonal least-squares and their application to nonlinear system identification’, International Journal of Control, 1989, 50 (5), pp. 1873-96
-
(1989)
International Journal of Control
, vol.50
, Issue.5
, pp. 1873-1896
-
-
Chen, S.1
Billings, S.A.2
Luo, W.3
-
59
-
-
33751560009
-
Regularization in the selection of radial basis function centers
-
ORR, M. J. L.: ‘Regularization in the selection of radial basis function centers’, Neural Computation, 1995, 7 (3), pp. 606-23
-
(1995)
Neural Computation
, vol.7
, Issue.3
, pp. 606-623
-
-
Orr, M.J.L.1
-
60
-
-
0001071040
-
A resource allocating network for function interpolation
-
PLATT, J.: ‘A resource allocating network for function interpolation’, Neural Computation, 1991, 3, pp. 213-25
-
(1991)
Neural Computation
, vol.3
, pp. 213-225
-
-
Platt, J.1
-
61
-
-
0001553560
-
A function estimation approach to sequential learning with neural networks
-
KADIRKAMANATHAN, V., and NIRANJAN, M.: ‘A function estimation approach to sequential learning with neural networks’, Neural Computation, 1993, 5, pp. 954-75
-
(1993)
Neural Computation
, vol.5
, pp. 954-975
-
-
Kadirkamanathan, V.1
Niranjan, M.2
-
62
-
-
0031568361
-
A sequential learning scheme for function approximation using minimal radial basis function neural networks
-
YINGWEI, L., SUNDARARAJAN, N., and SARATCHANDRAN, P.:‘A sequential learning scheme for function approximation using minimal radial basis function neural networks’, Neural Computation, 1997, 9, pp. 461-78
-
(1997)
Neural Computation
, vol.9
, pp. 461-478
-
-
Yingwei, L.1
Sundararajan, N.2
Saratchandran, P.3
-
63
-
-
0032022388
-
Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm
-
YINGWEI, L., SUNDARARAJAN, N., and SARATCHANDRAN, P.: ‘Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm’, IEEE Transactions on Neural Networks, 1998, 9 (2), pp. 308-18
-
(1998)
IEEE Transactions on Neural Networks
, vol.9
, Issue.2
, pp. 308-318
-
-
Yingwei, L.1
Sundararajan, N.2
Saratchandran, P.3
-
64
-
-
84947630316
-
ASMOD. An algorithm for adaptive spline modelling of observation data
-
KAVLI, T.: ‘ASMOD. An algorithm for adaptive spline modelling of observation data’, International Journal of Control, 1993, 58 (4), pp. 947-67
-
(1993)
International Journal of Control
, vol.58
, Issue.4
, pp. 947-967
-
-
Kavli, T.1
-
65
-
-
0344543445
-
Single and multiobjective genetic programming design for B-spline neural networks and neuro-fuzzy systems
-
Valência, Spain
-
CABRITA, C., RUANO, A. E., and FONSECA, C. M.: ‘Single and multiobjective genetic programming design for B-spline neural networks and neuro-fuzzy systems’. Proceedings of IFACworkshop on Advanced fuzzy/neural control, Valência, Spain, 2001, pp. 93-8
-
(2001)
Proceedings of IFACworkshop on Advanced fuzzy/neural control
, pp. 93-98
-
-
Cabrita, C.1
Ruano, A.E.2
Fonseca, C.M.3
-
66
-
-
85014211892
-
Genetic programming and bacterial algorithm for neural networks and fuzzy systems design: A comparison
-
(ICONS 2003), Faro, Portugal
-
CABRITA, C., BOTZHEIM, J., RUANO, A. E., and KÓCZY, L. T.: ‘Genetic programming and bacterial algorithm for neural networks and fuzzy systems design: a comparison’. Proceedings of IFAC international conference on Intelligent control and signal processing (ICONS 2003), Faro, Portugal, 2003, pp. 443-8
-
(2003)
Proceedings of IFAC international conference on Intelligent control and signal processing
, pp. 443-448
-
-
Cabrita, C.1
Botzheim, J.2
Ruano, A.E.3
Kóczy, L.T.4
-
67
-
-
0023572544
-
Neural controllers
-
PSALTIS, D., SIDERIS, A., and YAMAMURA, A.: ‘Neural controllers’. Proceedings of IEEE first conference on Neural networks, 1987, vol. 4, pp. 551-8
-
(1987)
Proceedings of IEEE first conference on Neural networks
, vol.4
, pp. 551-558
-
-
Psaltis, D.1
Sideris, A.2
Yamamura, A.3
-
68
-
-
0029483769
-
Nonlinear black-box modelling in system identification. A unified overview
-
SJOBERG, J., ZHANG, Q., LJUNG, L. et al.: ‘Nonlinear black-box modelling in system identification. A unified overview’, Automatica, 1995, 31 (12), pp. 1691-724
-
(1995)
Automatica
, vol.31
, Issue.12
, pp. 1691-1724
-
-
Sjoberg, J.1
Zhang, Q.2
Ljung, L.3
-
69
-
-
0001202594
-
A learning algorithm for continually running fully recurrent neural networks
-
WILLIAMS, R. J., and ZIPSER, D.: ‘A learning algorithm for continually running fully recurrent neural networks’, Neural Computation, 1989, 1 (2), pp. 270-80
-
(1989)
Neural Computation
, vol.1
, Issue.2
, pp. 270-280
-
-
Williams, R.J.1
Zipser, D.2
-
70
-
-
26444565569
-
Finding structure in time
-
ELMAN, L. J.: ‘Finding structure in time’, Cognitive Science, 1990, 14, pp. 179-211
-
(1990)
Cognitive Science
, vol.14
, pp. 179-211
-
-
Elman, L.J.1
-
73
-
-
0028392406
-
Locally recurrent globally feedforward networks:A critical review of architectures
-
TSOI, A., and BACK, A. D.: ‘Locally recurrent globally feedforward networks:a critical review of architectures’, IEEE Transactions on Neural Networks, 1994, 5 (2), pp. 229-39
-
(1994)
IEEE Transactions on Neural Networks
, vol.5
, Issue.2
, pp. 229-239
-
-
Tsoi, A.1
Back, A.D.2
-
74
-
-
0025464263
-
Structure identification of nonlinear dynamical systems: A survey on input/output methods
-
HABER, R., and UNBEHAUEN, H.: ‘Structure identification of nonlinear dynamical systems: a survey on input/output methods’, Automatica, 1985, 26 (4), pp. 651-77
-
(1985)
Automatica
, vol.26
, Issue.4
, pp. 651-677
-
-
Haber, R.1
Unbehauen, H.2
-
75
-
-
0027335201
-
-
Proceedings of American control conference, San Francisco, CA, USA
-
HE, X., and ASADA, H.: ‘A new method for identifying orders in input-output models for nonlinear dynamical systems’. Proceedings of American control conference, San Francisco, CA, USA, 1993, pp. 2520-3
-
(1993)
A new method for identifying orders in input-output models for nonlinear dynamical systems
, pp. 2520-2523
-
-
He, X.1
Asada, H.2
-
76
-
-
0025220903
-
On covariance function tests used in system identification
-
SÖDERSTRÖM, T., and STOICA, P.: ‘On covariance function tests used in system identification’, Automatica, 1990, 26 (1), pp. 834-49
-
(1990)
Automatica
, vol.26
, Issue.1
, pp. 834-849
-
-
Söderström, T.1
Stoica, P.2
-
77
-
-
0022752513
-
Correlation based validity tests for nonlinear models
-
BILLINGS, S., and VOON, W. S. F.: ‘Correlation based validity tests for nonlinear models’, International Journal of Control, 1986, 44 (1), pp. 235-44
-
(1986)
International Journal of Control
, vol.44
, Issue.1
, pp. 235-244
-
-
Billings, S.1
Voon, W.S.F.2
-
78
-
-
0001658853
-
Nonlinear model validation using correlation tests
-
BILLINGS, S. A., and ZHU, Q. M.: ‘Nonlinear model validation using correlation tests’, International Journal of Control, 1994, 60 (6), pp. 1107-20
-
(1994)
International Journal of Control
, vol.60
, Issue.6
, pp. 1107-1120
-
-
Billings, S.A.1
Zhu, Q.M.2
-
79
-
-
0026954775
-
Neural networks for control system - a survey
-
HUNT, K. J., SBARBARO, D., ZBIKOWSKI, R., and GAWTHROP, P. J.:‘Neural networks for control system - a survey’, Automatica, 1992, 28 (6), pp. 1083-112
-
(1992)
Automatica
, vol.28
, Issue.6
, pp. 1083-1112
-
-
Hunt, K.J.1
Sbarbaro, D.2
Zbikowski, R.3
Gawthrop, P.J.4
-
80
-
-
0031139313
-
Nonlinear control structures based on embedded neural system models
-
LIGHTBODY, G., and IRWIN, G. W.: ‘Nonlinear control structures based on embedded neural system models’, IEEE Transactions on Neural Networks, 1997, 8 (3), pp. 553-67
-
(1997)
IEEE Transactions on Neural Networks
, vol.8
, Issue.3
, pp. 553-567
-
-
Lightbody, G.1
Irwin, G.W.2
-
81
-
-
0035427391
-
Special issue on neural network feedback control
-
NARENDRA, K. S., and LEWIS, F. L. (Eds): ‘Special issue on neural network feedback control’, Automatica, 2001, 37 (8), 1147-301
-
(2001)
Automatica
, vol.37
, Issue.8
, pp. 1147-1301
-
-
Narendra, K.S.1
Lewis, F.L.2
-
82
-
-
0030652040
-
-
Proceedings of 1997 American control conference, Albuquerque, USA
-
JONCKHEERE, E. A., YU, G. R., and CHIEN, C. C.: ‘Gain scheduling for lateral motion of propulsion controlled aircraft using neural networks’. Proceedings of 1997 American control conference, Albuquerque, USA, 1997, pp. 3321-5
-
(1997)
Gain scheduling for lateral motion of propulsion controlled aircraft using neural networks
, pp. 3321-3325
-
-
Jonckheere, E.A.1
Yu, G.R.2
Chien, C.C.3
-
83
-
-
0007724997
-
A neural gain scheduling network controller for nonholonomic systems
-
JENG, J. T., and LEE, T. T.: ‘A neural gain scheduling network controller for nonholonomic systems’, IEEE Transactions on Systems, Man and Cybernetics -Part A, 1999, 29 (6), pp. 654-61
-
(1999)
IEEE Transactions on Systems, Man and Cybernetics -Part A
, vol.29
, Issue.6
, pp. 654-661
-
-
Jeng, J.T.1
Lee, T.T.2
-
84
-
-
0025399567
-
Identification and control of dynamical systems using neural networks
-
NARENDRA, K. S., and PARTHASARATHY, K.: ‘Identification and control of dynamical systems using neural networks’, IEEE Transactions on Neural Networks, 1990, 1 (1), pp. 4-27
-
(1990)
IEEE Transactions on Neural Networks
, vol.1
, Issue.1
, pp. 4-27
-
-
Narendra, K.S.1
Parthasarathy, K.2
-
85
-
-
0032686345
-
Identification of plant inverse dynamics using neural networks
-
PHAM, D. T., and OH, S. J.: ‘Identification of plant inverse dynamics using neural networks’, Artificial Intelligence in Engineering, 1999, 13 (3), pp. 309-20
-
(1999)
Artificial Intelligence in Engineering
, vol.13
, Issue.3
, pp. 309-320
-
-
Pham, D.T.1
Oh, S.J.2
-
86
-
-
0033340953
-
Issues in the application of neural networks for tracking based on inverse control
-
CABRERA, J. B. D., and NARENDRA, K. S.: ‘Issues in the application of neural networks for tracking based on inverse control’, IEEE Transactions on Automatic Control, 1999, 44 (11), pp. 2007-27
-
(1999)
IEEE Transactions on Automatic Control
, vol.44
, Issue.11
, pp. 2007-2027
-
-
Cabrera, J.B.D.1
Narendra, K.S.2
-
87
-
-
0037358447
-
Adaptive inverse control of linear and nonlinear systems using dynamic neural networks
-
PLETT, G. L.: ‘Adaptive inverse control of linear and nonlinear systems using dynamic neural networks’, IEEE Transactions on Neural Networks, 2003, 14 (2), pp. 360-76
-
(2003)
IEEE Transactions on Neural Networks
, vol.14
, Issue.2
, pp. 360-376
-
-
Plett, G.L.1
-
88
-
-
0026219567
-
Neural networks for nonlinear internal model control
-
HUNT, K., and SBARBARO, D.: ‘Neural networks for nonlinear internal model control’, IEE Proceedings on Control Theory and Applications, 1991, 138 (5), pp. 431-8
-
(1991)
IEE Proceedings on Control Theory and Applications
, vol.138
, Issue.5
, pp. 431-438
-
-
Hunt, K.1
Sbarbaro, D.2
-
89
-
-
0029520304
-
Internal model control framework for the modelling and control of a bioreactor
-
AOYAMA, A., and VENKATASUBRAMANIAN, V.: ‘Internal model control framework for the modelling and control of a bioreactor’, Engineering Applications of Artificial Intelligence, 1995, 8 (6), pp. 689-701
-
(1995)
Engineering Applications of Artificial Intelligence
, vol.8
, Issue.6
, pp. 689-701
-
-
Aoyama, A.1
Venkatasubramanian, V.2
-
90
-
-
0031271713
-
Nonlinear internal model control using local model networks
-
BROWN, M., LIGHTBODY, G., and IRWIN, G.W.: ‘Nonlinear internal model control using local model networks’, IEE Proceedings on Control Theory and Applications, 1997, 144 (4), pp. 505-14
-
(1997)
IEE Proceedings on Control Theory and Applications
, vol.144
, Issue.4
, pp. 505-514
-
-
Brown, M.1
Lightbody, G.2
Irwin, G.W.3
-
91
-
-
0035916802
-
Dynamic prediction and control of heat exchangers using artificial neural networks
-
DIAZ, G., SEN, M., YANG, K. T., and McCLAIN, R. L.: ‘Dynamic prediction and control of heat exchangers using artificial neural networks’, International Journal of Heat and Mass Transfer, 2001, 44 (9), pp. 1671-9
-
(2001)
International Journal of Heat and Mass Transfer
, vol.44
, Issue.9
, pp. 1671-1679
-
-
Diaz, G.1
Sen, M.2
Yang, K.T.3
McClain, R.L.4
-
92
-
-
0033640645
-
Nonlinear internal model control using neural networks; application to processes with delay and design issues
-
RIVALS, I., and PERSONNAZ, L.: ‘Nonlinear internal model control using neural networks; application to processes with delay and design issues’, IEEE Transactions on Neural Networks, 2000, 11 (1), pp. 80-90
-
(2000)
IEEE Transactions on Neural Networks
, vol.11
, Issue.1
, pp. 80-90
-
-
Rivals, I.1
Personnaz, L.2
-
93
-
-
0026867995
-
A connectionist approach to PID autotuning
-
RUANO, A. E., FLEMING, P. J., and JONES, D. I.: ‘A connectionist approach to PID autotuning’, IEE Proceedings on Control Theory and Applications, 1992, 139 (3), pp. 279-85
-
(1992)
IEE Proceedings on Control Theory and Applications
, vol.139
, Issue.3
, pp. 279-285
-
-
Ruano, A.E.1
Fleming, P.J.2
Jones, D.I.3
-
94
-
-
0003419751
-
-
Springer-Verlag, Berlin
-
OMATU, S., HALID, M., and YUSOF, R.: ‘Neuro-control and its applications’ (Springer-Verlag, Berlin, 1996)
-
(1996)
Neuro-control and its applications
-
-
Omatu, S.1
Halid, M.2
Yusof, R.3
-
95
-
-
0347998639
-
Neuro-genetic PID autotuning: Time invariant case
-
LIMA, J. M., andRUANO, A. E.: ‘Neuro-genetic PID autotuning: time invariant case’, IMACS Journal of Mathematics and Computers in Simulation, 2000, 51, pp. 287-300
-
(2000)
IMACS Journal of Mathematics and Computers in Simulation
, vol.51
, pp. 287-300
-
-
Lima, J.M.1
Andruano, A.E.2
-
96
-
-
0033672505
-
Accelerating multi-objective control system design using a neuro-genetic approach
-
Salford, UK
-
DUARTE, N. M., RUANO, A. E., FONSECA, C. M., and FLEMING, P. J.:‘Accelerating multi-objective control system design using a neuro-genetic approach’. Proceedings of eighth IFAC symposium on Computer aided control systems design, Salford, UK, 2000
-
(2000)
Proceedings of eighth IFAC symposium on Computer aided control systems design
-
-
Duarte, N.M.1
Ruano, A.E.2
Fonseca, C.M.3
Fleming, P.J.4
-
97
-
-
0026153906
-
Artificial neural networks in process engineering
-
WILLIS, M. J., DIMASSIMO, C., MONTAGUE, G. A., THAM, M. T., and MORRIS, A. J.: ‘Artificial neural networks in process engineering’, IEE Proceedings on Control Theory and Applications, 1991, 138 (3), pp. 256-66
-
(1991)
IEE Proceedings on Control Theory and Applications
, vol.138
, Issue.3
, pp. 256-266
-
-
Willis, M.J.1
Dimassimo, C.2
Montague, G.A.3
Tham, M.T.4
Morris, A.J.5
-
98
-
-
0001764422
-
Adaptive control using neural networks
-
MILLS, P. M., ZOMAYA, A. Y., and TADE, M. O.: ‘Adaptive control using neural networks’, International Journal of Control, 1994, 60 (6), pp. 1163-92
-
(1994)
International Journal of Control
, vol.60
, Issue.6
, pp. 1163-1192
-
-
Mills, P.M.1
Zomaya, A.Y.2
Tade, M.O.3
-
99
-
-
0029713462
-
Dynamic neural networks in nonlinear predictive control (an industrial application)
-
TURNER, P., MONTAGUE, G., and MORRIS, J.: ‘Dynamic neural networks in nonlinear predictive control (an industrial application)’, Computers and Chemical Engineering, 1996, 20, pp. 937-42
-
(1996)
Computers and Chemical Engineering
, vol.20
, pp. 937-942
-
-
Turner, P.1
Montague, G.2
Morris, J.3
-
100
-
-
0242327185
-
Mechatronic combustion engines - from modeling to control
-
ISERMANN, R., and HAFNER, M.: ‘Mechatronic combustion engines - from modeling to control’, European Journal of Control, 2001, 7 (2-3), pp. 220-47
-
(2001)
European Journal of Control
, vol.7
, Issue.2-3
, pp. 220-247
-
-
Isermann, R.1
Hafner, M.2
-
101
-
-
0038686627
-
Nonlinear model-based predictive control with local linear neuro-fuzzy
-
FINK, A., TOPFER, S., and ISERMANN, R.: ‘Nonlinear model-based predictive control with local linear neuro-fuzzy’, Archive of Applied Mechanics, 2003, 72 (11-12), pp. 911-22
-
(2003)
Archive of Applied Mechanics
, vol.72
, Issue.11-12
, pp. 911-922
-
-
Fink, A.1
Topfer, S.2
Isermann, R.3
-
103
-
-
85014145571
-
-
Technical report 65, Engineering Department, Cambridge University, UK
-
HANCOCK, E., and FALLSIDE, F.: ‘A direct control method for a class of nonlinear systems using neural networks’. Technical report 65, Engineering Department, Cambridge University, UK, 1991
-
(1991)
A direct control method for a class of nonlinear systems using neural networks
-
-
Hancock, E.1
Fallside, F.2
-
104
-
-
0003591357
-
-
Technical report 81, Engineering Department, Cambridge University, UK
-
HANCOCK, E., and FALLSIDE, F.: ‘Stable control of nonlinear systems using neural networks’. Technical report 81, Engineering Department, Cambridge University, UK, 1991
-
(1991)
Stable control of nonlinear systems using neural networks
-
-
Hancock, E.1
Fallside, F.2
-
105
-
-
0027068689
-
-
Proceedings of American control conference
-
POLYCARPOU, M., and IOANNOU, P.: ‘Modelling, identification and stable adaptive control of continuous time nonlinear dynamical systems using neural networks’. Proceedings of American control conference, 1992, pp. 36-40
-
(1992)
Modelling, identification and stable adaptive control of continuous time nonlinear dynamical systems using neural networks
, pp. 36-40
-
-
Polycarpou, M.1
Ioannou, P.2
-
106
-
-
0026954302
-
Gaussian networks for direct adaptive control
-
SANNER, M., and SLOTINE, J.: ‘Gaussian networks for direct adaptive control’, IEEE Transactions on Neural Networks, 1992, 3 (6), pp. 55-62
-
(1992)
IEEE Transactions on Neural Networks
, vol.3
, Issue.6
, pp. 55-62
-
-
Sanner, M.1
Slotine, J.2
-
107
-
-
0029408590
-
Feedback linearization using neural networks
-
YESILDIREK, A., and LEWIS, F. L.: ‘Feedback linearization using neural networks’, Automatica, 1995, 31 (11), pp. 1659-64
-
(1995)
Automatica
, vol.31
, Issue.11
, pp. 1659-1664
-
-
Yesildirek, A.1
Lewis, F.L.2
-
108
-
-
85014289460
-
-
Proceedings of the fourteenth IFAC World Congress, Beijing, China
-
LI, Q., BABUSKA, R., and VERHAEGEN, M.: ‘Adaptive output tracking of nonlinear systems using neural networks’. Proceedings of the fourteenth IFAC World Congress, Beijing, China, 1999, pp. 339-44
-
(1999)
Adaptive output tracking of nonlinear systems using neural networks
, pp. 339-344
-
-
Li, Q.1
Babuska, R.2
Verhaegen, M.3
-
109
-
-
0028386785
-
Adaptive control of unknown plants using dynamical neural networks
-
ROVITHAKIS, G., and CHRISTODOULOU, M.: ‘Adaptive control of unknown plants using dynamical neural networks’, IEEE Transactions on Systems, Man and Cybernetics, 1994, 24 (3), pp. 400-12
-
(1994)
IEEE Transactions on Systems, Man and Cybernetics
, vol.24
, Issue.3
, pp. 400-412
-
-
Rovithakis, G.1
Christodoulou, M.2
-
110
-
-
0033317081
-
Nonlinear adaptive tracking using dynamical neural networks
-
PONZYAK, A., YU, W., SANCHEZ, E., and PEREZ, P.: ‘Nonlinear adaptive tracking using dynamical neural networks’, IEEE Transactions on Neural Networks, 1999, 10 (6), pp. 1402-11
-
(1999)
IEEE Transactions on Neural Networks
, vol.10
, Issue.6
, pp. 1402-1411
-
-
Ponzyak, A.1
Yu, W.2
Sanchez, E.3
Perez, P.4
-
111
-
-
0029345293
-
Dynamic recurrent neural networks for systems identification and control
-
DELGADO, A., KAMBAHMPATI, C., and WARWICK, K.: ‘Dynamic recurrent neural networks for systems identification and control’, IEE Proceedings on Control Theory and Applications, 1995, 142 (4), pp. 307-14
-
(1995)
IEE Proceedings on Control Theory and Applications
, vol.142
, Issue.4
, pp. 307-314
-
-
Delgado, A.1
Kambahmpati, C.2
Warwick, K.3
-
112
-
-
0032026674
-
Recurrent networks for nonlinear adaptive control
-
BRDYS, M., KULAWSKI, G., and QUEVEDO, J.: ‘Recurrent networks for nonlinear adaptive control’, IEE Proceedings on Control Theory and Applications, 1998, 145 (2), pp. 177-88
-
(1998)
IEE Proceedings on Control Theory and Applications
, vol.145
, Issue.2
, pp. 177-188
-
-
Brdys, M.1
Kulawski, G.2
Quevedo, J.3
-
113
-
-
0033890638
-
Stable adaptive control with recurrent networks
-
KULAWSKI, G., and BRDYS, M.: ‘Stable adaptive control with recurrent networks’, Automatica, 2000, 36 (1), pp. 5-22
-
(2000)
Automatica
, vol.36
, Issue.1
, pp. 5-22
-
-
Kulawski, G.1
Brdys, M.2
-
114
-
-
0027556823
-
Control of non-linear dynamical systems using neural networks: Part I, controlability and stabilization
-
LEVIN, A., and NARENDRA, K.: ‘Control of non-linear dynamical systems using neural networks: part I, controlability and stabilization’, IEEE Transactions on Neural Networks, 1993, 4 (2), pp. 192-206
-
(1993)
IEEE Transactions on Neural Networks
, vol.4
, Issue.2
, pp. 192-206
-
-
Levin, A.1
Narendra, K.2
-
115
-
-
0029754433
-
Control of non-linear dynamical systems using neural networks: Part II, observability, identification and control
-
LEVIN, A., and NARENDRA, K.: ‘Control of non-linear dynamical systems using neural networks: part II, observability, identification and control’, IEEE Transactions on Neural Networks, 1996, 7 (1), pp. 30-42
-
(1996)
IEEE Transactions on Neural Networks
, vol.7
, Issue.1
, pp. 30-42
-
-
Levin, A.1
Narendra, K.2
-
116
-
-
0029308580
-
Adaptive control of a class of non-linear discrete time systems using neural networks
-
CHEN, F., and KHALIL, H.: ‘Adaptive control of a class of non-linear discrete time systems using neural networks’, IEEE Transactions on Automatic Control, 1995, 40 (5), pp. 791-801
-
(1995)
IEEE Transactions on Automatic Control
, vol.40
, Issue.5
, pp. 791-801
-
-
Chen, F.1
Khalil, H.2
-
117
-
-
0030148040
-
Discrete time model reference adaptive control of non-linear dynamical systems using neural networks
-
JAGANNATHAN, S., LEWIS, F., and PASTRAVANU, O.: ‘Discrete time model reference adaptive control of non-linear dynamical systems using neural networks’, International Journal of Control, 1996, 64 (2), pp. 107-30
-
(1996)
International Journal of Control
, vol.64
, Issue.2
, pp. 107-130
-
-
Jagannathan, S.1
Lewis, F.2
Pastravanu, O.3
-
118
-
-
0032598257
-
Linear predictive control based on approximate input- output feedback linearization
-
TeBRAAKE, H., BOTTO, M., CAN, J., Sá da COSTA, J., and VERBRUGGEN, H.: ‘Linear predictive control based on approximate input- output feedback linearization’, IEE Proceedings on Control Theory and Applications, 1999, 146 (4), pp. 295-300
-
(1999)
IEE Proceedings on Control Theory and Applications
, vol.146
, Issue.4
, pp. 295-300
-
-
Tebraake, H.1
Botto, M.2
Can, J.3
Sá Da Costa, J.4
Verbruggen, H.5
-
119
-
-
0031170885
-
NLq theory: A neural control framework with global asymptotic stability criteria
-
SUYKENS, K., DeMOOR, B., and VANDEWALLW, J.: ‘NLq theory: a neural control framework with global asymptotic stability criteria’, Neural Networks, 1997, 10, pp. 615-37
-
(1997)
Neural Networks
, vol.10
, pp. 615-637
-
-
Suykens, K.1
Demoor, B.2
Vandewallw, J.3
-
120
-
-
0028728530
-
Dynamic recurrent neural network for control of unknown nonlinear systems
-
JIN, L., NIKIFORUK, P., and GUPTA, M.: ‘Dynamic recurrent neural network for control of unknown nonlinear systems’, Journal of Dynamical Systems, Measurement and Control, 1994, 116, pp. 567-76
-
(1994)
Journal of Dynamical Systems, Measurement and Control
, vol.116
, pp. 567-576
-
-
Jin, L.1
Nikiforuk, P.2
Gupta, M.3
-
121
-
-
0344927103
-
Genetic assisted selection of RBF model structures for greenhouse inside air temperature prediction
-
Istanbul, Turkey, June
-
FERREIRA, P. M., RUANO, A. E., and FONSECA, C. M.: ‘Genetic assisted selection of RBF model structures for greenhouse inside air temperature prediction’. IEEE conference on Control applications, Istanbul, Turkey, June 2003
-
(2003)
IEEE conference on Control applications
-
-
Ferreira, P.M.1
Ruano, A.E.2
Fonseca, C.M.3
-
122
-
-
84879203441
-
Design and implementation of a real-time data acquisition system for the identification of dynamic temperature models in a hydroponic greenhouse
-
FERREIRA, P. M., FARIA, E. A., and RUANO, A. E.: ‘Design and implementation of a real-time data acquisition system for the identification of dynamic temperature models in a hydroponic greenhouse’, Acta Horticulturae, 2000, 519, pp. 191-7
-
(2000)
Acta Horticulturae
, vol.519
, pp. 191-197
-
-
Ferreira, P.M.1
Faria, E.A.2
Ruano, A.E.3
-
123
-
-
0345567619
-
Application of radial basis function neural networks to a greenhouse inside air temperature model
-
(Agricontrol 2000), Wageningen, The Netherlands
-
FERREIRA, P. M., FARIA, E. A., and RUANO, A. E.: ‘Application of radial basis function neural networks to a greenhouse inside air temperature model’. Proceedings of IFAC international conference on Modelling and control in agriculture, horticulture and post-harvested processing (Agricontrol 2000), Wageningen, The Netherlands, 2000, vol. 2, pp. 172-7
-
(2000)
Proceedings of IFAC international conference on Modelling and control in agriculture, horticulture and post-harvested processing
, vol.2
, pp. 172-177
-
-
Ferreira, P.M.1
Faria, E.A.2
Ruano, A.E.3
-
124
-
-
85014179779
-
Comparison of on-line learning algorithms for radial basis function models in greenhouse environmental control
-
(Controlo 2000), Guimarães, Portugal
-
FERREIRA, P. M., FARIA, E. A., and RUANO, A. E.: ‘Comparison of on-line learning algorithms for radial basis function models in greenhouse environmental control’. Proceedings of fourth Portuguese conference on Automatic control (Controlo 2000), Guimarães, Portugal, 2000
-
(2000)
Proceedings of fourth Portuguese conference on Automatic control
-
-
Ferreira, P.M.1
Faria, E.A.2
Ruano, A.E.3
-
125
-
-
79960723909
-
Predicting the greenhouse inside air temperature with rbf neural networks
-
Bali, Indonesia
-
FERREIRA, P. M., and RUANO, A. E.: ‘Predicting the greenhouse inside air temperature with rbf neural networks’. Preprints of the second IFAC-CIGR workshop on Intelligent control for agricultural applications, Bali, Indonesia, 2001, pp. 67-72
-
(2001)
Preprints of the second IFAC-CIGR workshop on Intelligent control for agricultural applications
, pp. 67-72
-
-
Ferreira, P.M.1
Ruano, A.E.2
-
126
-
-
84945571877
-
-
Proceedings of fifteenth IFAC World Congress, Barcelona, Spain
-
FERREIRA, P. M., and RUANO, A. E.: ‘Choice of rbf model structure for predicting greenhouse inside air temperature’. Proceedings of fifteenth IFAC World Congress, Barcelona, Spain, 2002
-
(2002)
Choice of rbf model structure for predicting greenhouse inside air temperature
-
-
Ferreira, P.M.1
Ruano, A.E.2
-
127
-
-
40649093470
-
Predicting solar radiation with rbf neural networks
-
(Controlo 2004), Faro, Portugal
-
FERREIRA, P. M., and RUANO, A. E.: ‘Predicting solar radiation with rbf neural networks’. Proceedings of the sixth Portuguese conference on Automatic control (Controlo 2004), Faro, Portugal, 2004, pp. 31-6
-
(2004)
Proceedings of the sixth Portuguese conference on Automatic control
, pp. 31-36
-
-
Ferreira, P.M.1
Ruano, A.E.2
-
128
-
-
0344436203
-
-
Proceedings of the thirteenth IFAC World Congress, San Francisco, CA, USA
-
FONSECA, C. M., and FLEMING, P. J.: ‘Non-linear system identification with multiobjective genetic algorithms’. Proceedings of the thirteenth IFAC World Congress, San Francisco, CA, USA, 1996, vol. C, pp. 187-92
-
(1996)
Non-linear system identification with multiobjective genetic algorithms
, vol.C
, pp. 187-192
-
-
Fonseca, C.M.1
Fleming, P.J.2
-
129
-
-
3142710882
-
Identifying the structure of nonlinear dynamic systems using multiobjective genetic programming
-
RODRÍGUEZ-VÁSQUEZ, K., FONSECA, C. M., and FLEMING, P. J.: ‘Identifying the structure of nonlinear dynamic systems using multiobjective genetic programming’, IEEE Transactions on Systems, Man, and Cybernetics - Part A:Systems and Humans, 2004, 34 (4), pp. 531-45
-
(2004)
IEEE Transactions on Systems, Man, and Cybernetics - Part A:Systems and Humans
, vol.34
, Issue.4
, pp. 531-545
-
-
Rodríguez-Vásquez, K.1
Fonseca, C.M.2
Fleming, P.J.3
-
130
-
-
84958962366
-
On the performance assessment and comparison of stochastic multiobjective optimizers
-
Lecture Notes in Computer Science, 1141, Springer-Verlag, Berlin, Germany
-
FONSECA, C. M., and FLEMING, P. J.: ‘On the performance assessment and comparison of stochastic multiobjective optimizers’, Parallel Problem Solving from Nature - PPSN IV, Lecture Notes in Computer Science, 1141, Springer-Verlag, Berlin, Germany, 1996, pp. 584-93
-
(1996)
Parallel Problem Solving from Nature - PPSN IV
, pp. 584-593
-
-
Fonseca, C.M.1
Fleming, P.J.2
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