-
2
-
-
0027678679
-
Extracting refined rules from knowledge-based neural networks
-
Towell G.G., and Shavlik J.W. Extracting refined rules from knowledge-based neural networks. Mach. Learn. 13 (1993) 71-101
-
(1993)
Mach. Learn.
, vol.13
, pp. 71-101
-
-
Towell, G.G.1
Shavlik, J.W.2
-
3
-
-
0031268065
-
An ART-based fuzzy adaptive learning control network
-
Lin C.J., and Lin C.T. An ART-based fuzzy adaptive learning control network. IEEE Trans. Fuzzy Syst. 5 4 (1997) 477-496
-
(1997)
IEEE Trans. Fuzzy Syst.
, vol.5
, Issue.4
, pp. 477-496
-
-
Lin, C.J.1
Lin, C.T.2
-
4
-
-
0026943536
-
Generating fuzzy rules by learning from examples
-
Wang L.X., and Mendel J.M. Generating fuzzy rules by learning from examples. IEEE Trans. Syst. Man Cybern. 22 6 (1992) 1414-1427
-
(1992)
IEEE Trans. Syst. Man Cybern.
, vol.22
, Issue.6
, pp. 1414-1427
-
-
Wang, L.X.1
Mendel, J.M.2
-
5
-
-
0021892282
-
Fuzzy identification of systems and its applications to modeling and control
-
Takagi T., and Sugeno M. Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst. Man Cybern. 15 (1985) 116-132
-
(1985)
IEEE Trans. Syst. Man Cybern.
, vol.15
, pp. 116-132
-
-
Takagi, T.1
Sugeno, M.2
-
6
-
-
0031999146
-
An on-line self-constructing neural fuzzy inference network and its applications
-
Juang C.F., and Lin C.T. An on-line self-constructing neural fuzzy inference network and its applications. IEEE Trans. Fuzzy Syst. 6 1 (1998) 12-31
-
(1998)
IEEE Trans. Fuzzy Syst.
, vol.6
, Issue.1
, pp. 12-31
-
-
Juang, C.F.1
Lin, C.T.2
-
7
-
-
0027601884
-
ANFIS: adaptive-network-based fuzzy inference system
-
Jang J.S.R. ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans. Syst. Man Cybern. 23 3 (1993) 665-685
-
(1993)
IEEE Trans. Syst. Man Cybern.
, vol.23
, Issue.3
, pp. 665-685
-
-
Jang, J.S.R.1
-
8
-
-
0035483867
-
Self-constructing fuzzy neural network speed controller for permanent-magnet synchronous motor drive
-
Lin F.J., Lin C.H., and Shen P.H. Self-constructing fuzzy neural network speed controller for permanent-magnet synchronous motor drive. IEEE Trans. Fuzzy Syst. 9 5 (2001) 751-759
-
(2001)
IEEE Trans. Fuzzy Syst.
, vol.9
, Issue.5
, pp. 751-759
-
-
Lin, F.J.1
Lin, C.H.2
Shen, P.H.3
-
9
-
-
0026927203
-
Neural networks designed on approximate reasoning architecture and their application
-
Takagi H., Suzuki N., Koda T., and Kojima Y. Neural networks designed on approximate reasoning architecture and their application. IEEE Trans. Neural Networks 3 5 (1992) 752-759
-
(1992)
IEEE Trans. Neural Networks
, vol.3
, Issue.5
, pp. 752-759
-
-
Takagi, H.1
Suzuki, N.2
Koda, T.3
Kojima, Y.4
-
11
-
-
4844222566
-
Prediction and identification using wavelet-based recurrent fuzzy neural networks
-
Lin C.J., and Chin C.C. Prediction and identification using wavelet-based recurrent fuzzy neural networks. IEEE Trans. Syst. Man Cybern. Part B 34 5 (2004) 2144-2154
-
(2004)
IEEE Trans. Syst. Man Cybern. Part B
, vol.34
, Issue.5
, pp. 2144-2154
-
-
Lin, C.J.1
Chin, C.C.2
-
12
-
-
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 Trans. Neural Networks 1 1 (1990) 4-27
-
(1990)
IEEE Trans. Neural Networks
, vol.1
, Issue.1
, pp. 4-27
-
-
Narendra, K.S.1
Parthasarathy, K.2
-
13
-
-
0032681147
-
A recurrent self-organizing neural fuzzy inference network
-
Juang C.F., and Lin C.T. A recurrent self-organizing neural fuzzy inference network. IEEE Trans. Neural Networks 10 4 (1999) 828-845
-
(1999)
IEEE Trans. Neural Networks
, vol.10
, Issue.4
, pp. 828-845
-
-
Juang, C.F.1
Lin, C.T.2
-
17
-
-
0020970738
-
Neuron like adaptive elements that can solve difficult learning control problem
-
Barto A.G., Sutton R.S., and Anderson C.W. Neuron like adaptive elements that can solve difficult learning control problem. IEEE Trans. Syst. Man Cybern. 13 5 (1983) 834-847
-
(1983)
IEEE Trans. Syst. Man Cybern.
, vol.13
, Issue.5
, pp. 834-847
-
-
Barto, A.G.1
Sutton, R.S.2
Anderson, C.W.3
-
18
-
-
0036472288
-
A GA-based neural network with supervised and reinforcement learning
-
Lin C.J. A GA-based neural network with supervised and reinforcement learning. J. Chin. Inst. Electr. Eng. 9 1 (2002) 11-25
-
(2002)
J. Chin. Inst. Electr. Eng.
, vol.9
, Issue.1
, pp. 11-25
-
-
Lin, C.J.1
-
19
-
-
0035692510
-
Competitive Takagi-Sugeno fuzzy reinforcement learning
-
X.W. Yan, Z.D. Deng, Z.Q. Sun, Competitive Takagi-Sugeno fuzzy reinforcement learning, in: Proceedings of IEEE International Conference on Control Applications, 2001, pp. 878-883.
-
(2001)
Proceedings of IEEE International Conference on Control Applications
, pp. 878-883
-
-
Yan, X.W.1
Deng, Z.D.2
Sun, Z.Q.3
-
20
-
-
0033692593
-
GA-based fuzzy reinforcement learning for control of a magnetic bearing system
-
Lin C.T., and Jou C.P. GA-based fuzzy reinforcement learning for control of a magnetic bearing system. IEEE Trans. Syst. Man Cybern. Part B 30 2 (2000) 276-289
-
(2000)
IEEE Trans. Syst. Man Cybern. Part B
, vol.30
, Issue.2
, pp. 276-289
-
-
Lin, C.T.1
Jou, C.P.2
-
21
-
-
0026923465
-
Learning and tuning fuzzy logic controllers through reinforcements
-
Berenji H.R., and Khedkar P. Learning and tuning fuzzy logic controllers through reinforcements. IEEE Trans. Neural Networks 3 5 (1992) 724-740
-
(1992)
IEEE Trans. Neural Networks
, vol.3
, Issue.5
, pp. 724-740
-
-
Berenji, H.R.1
Khedkar, P.2
-
24
-
-
0002442921
-
Evolutionary programming in perspective: the top-down view
-
Zurada J.M., Marks II R.J., and Goldberg C. (Eds), IEEE Press, Piscataway, NJ
-
Fogel L.J. Evolutionary programming in perspective: the top-down view. In: Zurada J.M., Marks II R.J., and Goldberg C. (Eds). Computational Intelligence: Imitating Life (1994), IEEE Press, Piscataway, NJ
-
(1994)
Computational Intelligence: Imitating Life
-
-
Fogel, L.J.1
-
25
-
-
0000244350
-
Evolution strategy
-
Zurada J.M., Marks II R.J., and Goldberg C. (Eds), IEEE Press, Piscataway, NJ
-
Rechenberg I. Evolution strategy. In: Zurada J.M., Marks II R.J., and Goldberg C. (Eds). Computational Intelligence: Imitating Life (1994), IEEE Press, Piscataway, NJ
-
(1994)
Computational Intelligence: Imitating Life
-
-
Rechenberg, I.1
-
27
-
-
0027224649
-
Integrating design stages of fuzzy systems using genetic algorithms
-
San Francisco, CA
-
M. Lee, H. Takagi, Integrating design stages of fuzzy systems using genetic algorithms, in: Proceedings of the Second IEEE International Conference on Fuzzy Systems, San Francisco, CA, 1993, pp. 612-617.
-
(1993)
Proceedings of the Second IEEE International Conference on Fuzzy Systems
, pp. 612-617
-
-
Lee, M.1
Takagi, H.2
-
28
-
-
0034245336
-
Genetic algorithm for the design of a class of fuzzy controllers: an alternative approach
-
Belarbi K., and Titel F. Genetic algorithm for the design of a class of fuzzy controllers: an alternative approach. IEEE Trans. Fuzzy Syst. 8 4 (2000) 398-405
-
(2000)
IEEE Trans. Fuzzy Syst.
, vol.8
, Issue.4
, pp. 398-405
-
-
Belarbi, K.1
Titel, F.2
-
29
-
-
1842535329
-
A hybrid of genetic algorithm and particle swarm optimization for recurrent network design
-
Juang C.F. A hybrid of genetic algorithm and particle swarm optimization for recurrent network design. IEEE Trans. Syst. Man Cybern. Part B 34 2 (2004) 997-1006
-
(2004)
IEEE Trans. Syst. Man Cybern. Part B
, vol.34
, Issue.2
, pp. 997-1006
-
-
Juang, C.F.1
-
30
-
-
0033692593
-
GA-based fuzzy reinforcement learning for control of a magnetic bearing system
-
Lin C.T., and Jou C.P. GA-based fuzzy reinforcement learning for control of a magnetic bearing system. IEEE Trans. Syst. Man Cybern. Part B 30 2 (2000) 276-289
-
(2000)
IEEE Trans. Syst. Man Cybern. Part B
, vol.30
, Issue.2
, pp. 276-289
-
-
Lin, C.T.1
Jou, C.P.2
-
31
-
-
0033705962
-
Genetic reinforcement learning through symbiotic evolution for fuzzy controller design
-
Juang C.F., Lin J.Y., and Lin C.T. Genetic reinforcement learning through symbiotic evolution for fuzzy controller design. IEEE Trans. Syst. Man Cybern. Part B 30 2 (2000) 290-302
-
(2000)
IEEE Trans. Syst. Man Cybern. Part B
, vol.30
, Issue.2
, pp. 290-302
-
-
Juang, C.F.1
Lin, J.Y.2
Lin, C.T.3
-
32
-
-
34548285332
-
-
Ph.D. Dissertation, Department of Electronic Engineering, City University Hong Kong, Hong Kong
-
K.S. Tang, Genetic algorithms in modeling and optimization, Ph.D. Dissertation, Department of Electronic Engineering, City University Hong Kong, Hong Kong, 1996.
-
(1996)
Genetic algorithms in modeling and optimization
-
-
Tang, K.S.1
-
33
-
-
21444440759
-
Combination of online clustering and Q-value based GA for reinforcement fuzzy system design
-
Juang C.F. Combination of online clustering and Q-value based GA for reinforcement fuzzy system design. IEEE Trans. Fuzzy Syst. 13 3 (2005) 289-302
-
(2005)
IEEE Trans. Fuzzy Syst.
, vol.13
, Issue.3
, pp. 289-302
-
-
Juang, C.F.1
-
34
-
-
67349274220
-
-
F.J. Gomez, Robust non-linear control through neuroevolution, Ph.D. Disseration, The University of Texas at Austin, 2003.
-
F.J. Gomez, Robust non-linear control through neuroevolution, Ph.D. Disseration, The University of Texas at Austin, 2003.
-
-
-
-
36
-
-
0028739332
-
Wavelet neural networks are asymptotically optimal approximators for functions of one variable
-
V. Kreinovich, O. Sirisaengtaksin, S. Cabrera, Wavelet neural networks are asymptotically optimal approximators for functions of one variable, in: Proceedings of IEEE Conference on Neural Networks, vol. 1, 1994, pp. 299-304.
-
(1994)
Proceedings of IEEE Conference on Neural Networks
, vol.1
, pp. 299-304
-
-
Kreinovich, V.1
Sirisaengtaksin, O.2
Cabrera, S.3
-
37
-
-
0035245287
-
Fuzzy wavelet networks for function learning
-
Ho D.W.C., Zhang P.A., and Xu J. Fuzzy wavelet networks for function learning. IEEE Trans. Fuzzy Syst. 9 1 (2001) 200-211
-
(2001)
IEEE Trans. Fuzzy Syst.
, vol.9
, Issue.1
, pp. 200-211
-
-
Ho, D.W.C.1
Zhang, P.A.2
Xu, J.3
-
38
-
-
0033098832
-
Recurrent neuro-fuzzy networks for nonlinear process modeling
-
Zhang J., and Morris A.J. Recurrent neuro-fuzzy networks for nonlinear process modeling. IEEE Trans. Neural Networks 10 2 (1999) 313-326
-
(1999)
IEEE Trans. Neural Networks
, vol.10
, Issue.2
, pp. 313-326
-
-
Zhang, J.1
Morris, A.J.2
-
39
-
-
0036856770
-
On the dynamical modeling with neural fuzzy networks
-
Su S.F., and Yang F.Y. On the dynamical modeling with neural fuzzy networks. IEEE Trans. Neural Networks 13 6 (2002) 1548-1553
-
(2002)
IEEE Trans. Neural Networks
, vol.13
, Issue.6
, pp. 1548-1553
-
-
Su, S.F.1
Yang, F.Y.2
-
42
-
-
0028558003
-
GAVaPS-A genetic algorithm with varying population size
-
Orlando
-
J. Arabas, Z. Michalewicz, J. Mulawka, GAVaPS-A genetic algorithm with varying population size, in: Proceedings of IEEE International Conference on Evolutionary Computation, Orlando, 1994, pp. 73-78.
-
(1994)
Proceedings of IEEE International Conference on Evolutionary Computation
, pp. 73-78
-
-
Arabas, J.1
Michalewicz, Z.2
Mulawka, J.3
-
43
-
-
0002318273
-
Efficient reinforcement learning through symbiotic evolution
-
Moriarty D.E., and Miikkulainen R. Efficient reinforcement learning through symbiotic evolution. Mach. Learn. 22 (1996) 11-32
-
(1996)
Mach. Learn.
, vol.22
, pp. 11-32
-
-
Moriarty, D.E.1
Miikkulainen, R.2
-
44
-
-
0000190905
-
Searching for diverse, cooperative populations with genetic algorithms
-
Smith R.E., Forrest S., and Perelson A.S. Searching for diverse, cooperative populations with genetic algorithms. Evol. Comput. 1 2 (1993) 127-149
-
(1993)
Evol. Comput.
, vol.1
, Issue.2
, pp. 127-149
-
-
Smith, R.E.1
Forrest, S.2
Perelson, A.S.3
-
45
-
-
0003927095
-
-
World Scientific Publishing, NJ
-
Cordon O., Herrera F., Hoffmann F., and Magdalena L. Genetic fuzzy systems evolutionary tuning and learning of fuzzy knowledge bases. Advances in Fuzzy Systems-Applications and Theory vol. 19 (2001), World Scientific Publishing, NJ
-
(2001)
Genetic fuzzy systems evolutionary tuning and learning of fuzzy knowledge bases. Advances in Fuzzy Systems-Applications and Theory
, vol.19
-
-
Cordon, O.1
Herrera, F.2
Hoffmann, F.3
Magdalena, L.4
-
46
-
-
31544479047
-
The design of TSK-type fuzzy controllers using a new hybrid learning approach
-
Lin C.J., and Xu Y.J. The design of TSK-type fuzzy controllers using a new hybrid learning approach. Int. J. Adaptive Control Signal Process. 20 (2006) 1-25
-
(2006)
Int. J. Adaptive Control Signal Process.
, vol.20
, pp. 1-25
-
-
Lin, C.J.1
Xu, Y.J.2
-
47
-
-
0023295116
-
A ball-balancing demonstration of optimal and disturbance-accommodating control
-
Cheok K.C., and Loh N.K. A ball-balancing demonstration of optimal and disturbance-accommodating control. IEEE Control Syst. Mag. (1987) 54-57
-
(1987)
IEEE Control Syst. Mag.
, pp. 54-57
-
-
Cheok, K.C.1
Loh, N.K.2
-
48
-
-
0027701513
-
Genetic reinforcement learning for neuro control problems
-
Whitley D., Dominic S., Das R., and Anderson C.W. Genetic reinforcement learning for neuro control problems. Mach. Learn. 13 (1993) 259-284
-
(1993)
Mach. Learn.
, vol.13
, pp. 259-284
-
-
Whitley, D.1
Dominic, S.2
Das, R.3
Anderson, C.W.4
-
49
-
-
27544513017
-
Efficient reinforcement learning through dynamical symbiotic evolution for TSK-type fuzzy controller design
-
Lin C.J., and Xu Y.J. Efficient reinforcement learning through dynamical symbiotic evolution for TSK-type fuzzy controller design. Int. J. Gen. Syst. 34 5 (2005) 559-578
-
(2005)
Int. J. Gen. Syst.
, vol.34
, Issue.5
, pp. 559-578
-
-
Lin, C.J.1
Xu, Y.J.2
-
50
-
-
0026839028
-
Nonlinear control via approximate input-output linearization: the ball and beam example
-
Hauser J., Sastry S., and Kokotovic P. Nonlinear control via approximate input-output linearization: the ball and beam example. IEEE Trans. Autom. Control 37 3 (1992) 392-398
-
(1992)
IEEE Trans. Autom. Control
, vol.37
, Issue.3
, pp. 392-398
-
-
Hauser, J.1
Sastry, S.2
Kokotovic, P.3
-
51
-
-
67349227228
-
-
K.A. De Jong, Analysis of the behavior of a class of genetic adaptive systems, Ph.D. Disseration, The University of Michigan, Ann Arbor, MI, 1975.
-
K.A. De Jong, Analysis of the behavior of a class of genetic adaptive systems, Ph.D. Disseration, The University of Michigan, Ann Arbor, MI, 1975.
-
-
-
-
52
-
-
0022559425
-
Optimization of control parameters for genetic algorithms
-
Grefenstette J.J. Optimization of control parameters for genetic algorithms. IEEE Trans. Syst. Man Cybern. 6 1 (1986) 122-128
-
(1986)
IEEE Trans. Syst. Man Cybern.
, vol.6
, Issue.1
, pp. 122-128
-
-
Grefenstette, J.J.1
-
53
-
-
0026626840
-
Evolving neural network controllers for unstable systems
-
A. Wieland, Evolving neural network controllers for unstable systems, in: Proceedings of IEEE Conference on Neural Networks, vol. 2, 1991, pp. 667-673.
-
(1991)
Proceedings of IEEE Conference on Neural Networks
, vol.2
, pp. 667-673
-
-
Wieland, A.1
|