-
1
-
-
0141501530
-
Neuro-fuzzy methods for nonlinear system identification
-
Babuška, R., & Verbruggen, H. (2003). Neuro-fuzzy methods for nonlinear system identification. Annual reviews in control 27, 73-85.
-
(2003)
Annual Reviews In Control
, vol.27
, pp. 73-85
-
-
Babuška, R.1
Verbruggen, H.2
-
2
-
-
34548482506
-
A novel approach for ANFIS modelling based on full factorial design
-
Buragohain, M., & Mahanta, C. (2008). A novel approach for ANFIS modelling based on full factorial design. Applied Soft Computing, 8, 609-625.
-
(2008)
Applied Soft Computing
, vol.8
, pp. 609-625
-
-
Buragohain, M.1
Mahanta, C.2
-
3
-
-
18744430576
-
Comparative Study of Learning Methods in Tuning Parameters of Fuzzy Membership Functions
-
Tokyo, Japan
-
Chen, M. S. (1999). A Comparative Study of Learning Methods in Tuning Parameters of Fuzzy Membership Functions. In Proceedings of IEEE SMC '99 Conference, Tokyo, Japan, 40-44.
-
(1999)
Proceedings of IEEE SMC '99 Conference
, pp. 40-44
-
-
Chen, M.S.1
-
4
-
-
84974743850
-
Fuzzy Model Identification Based on Cluster Estimation
-
Chiu, S. (1994). Fuzzy Model Identification Based on Cluster Estimation. Journal of Intelligent & Fuzzy Systems 2(3).
-
(1994)
Journal of Intelligent & Fuzzy Systems
, vol.2
, Issue.3
-
-
Chiu, S.1
-
5
-
-
39749143324
-
An adaptive neuro-fuzzy system for efficient implementations
-
Echanobe, J., Campo, I. D, & Bosque, G. (2008). An adaptive neuro-fuzzy system for efficient implementations. Information Sciences, 178, 2150-2162.
-
(2008)
Information Sciences
, vol.178
, pp. 2150-2162
-
-
Echanobe, J.1
Campo, I.D.2
Bosque, G.3
-
6
-
-
0002424806
-
A unified parameterized formulation of reasoning in fuzzy modeling and control
-
Emami, M. R, Turksen I. B., & Goldenberg, A. A. (1999). A unified parameterized formulation of reasoning in fuzzy modeling and control. Fuzzy Sets and Systems 108, 59-81.
-
(1999)
Fuzzy Sets and Systems
, vol.108
, pp. 59-81
-
-
Emami, M.R.1
Turksen, I.B.2
Goldenberg, A.A.3
-
7
-
-
53849104293
-
A type-2 fuzzy rule-based expert system model for stock price analysis
-
Fazel Zarandi, M. H, Rezaee, B., Turksen, I. B., & Neshat, E. (2009). A type-2 fuzzy rule-based expert system model for stock price analysis. Expert Systems with Applications 36, 139-154.
-
(2009)
Expert Systems With Applications
, vol.36
, pp. 139-154
-
-
Fazel Zarandi, M.H.1
Rezaee, B.2
Turksen, I.B.3
Neshat, E.4
-
8
-
-
0001404416
-
A new method of choosing the number of clusters for fuzzy c-means method
-
(in Japanese
-
Fukuyama, Y., & Sugeno, M. (1989). A new method of choosing the number of clusters for fuzzy c-means method. In Proceeding of 5th fuzzy system symposium (in Japanese), 247-250.
-
(1989)
Proceeding of 5th Fuzzy System Symposium
, pp. 247-250
-
-
Fukuyama, Y.1
Sugeno, M.2
-
10
-
-
0027601884
-
ANFIS: Adaptive-network-based fuzzy inference systems
-
Jang, J-S. R. (1993). ANFIS: Adaptive-network-based fuzzy inference systems. IEEE Transactions on Systems, Man & Cybernetics, 23(3), 665-685.
-
(1993)
IEEE Transactions On Systems, Man & Cybernetics
, vol.23
, Issue.3
, pp. 665-685
-
-
Jang J-S., R.1
-
12
-
-
9544250381
-
A cluster validation index for GK cluster analysis based on relative degree of sharing
-
Kim, Y. I, Kim, D. W., Lee, D., & Lee, K. H. (2004). A cluster validation index for GK cluster analysis based on relative degree of sharing. Information Sciences, 168, 225-242.
-
(2004)
Information Sciences
, vol.168
, pp. 225-242
-
-
Kim, Y.I.1
Kim, D.W.2
Lee, D.3
Lee, K.H.4
-
13
-
-
0028532753
-
Fuzzy systems as universal approximators
-
Kosko, B. (1994). Fuzzy systems as universal approximators. IEEE Transactions on Computers, 43(11), 1329-1333.
-
(1994)
IEEE Transactions On Computers
, vol.43
, Issue.11
, pp. 1329-1333
-
-
Kosko, B.1
-
14
-
-
0032178397
-
Cluster validity index for fuzzy clustering
-
Kwon, S. H. (1998). Cluster validity index for fuzzy clustering. Electronics Letters 34(22), 2176-2177.
-
(1998)
Electronics Letters
, vol.34
, Issue.22
, pp. 2176-2177
-
-
Kwon, S.H.1
-
15
-
-
0030651999
-
Constructive Algorithm for Neuro-Fuzzy Networks
-
Mascioli, F.M., Varazi, G.M, & Martinelli, G. (1997). Constructive Algorithm for Neuro-Fuzzy Networks. In Proceedings of the Sixth IEEE International Conference Fuzzy Systems, Spain, 1, 459-464.
-
(1997)
Proceedings of the Sixth IEEE International Conference Fuzzy Systems, Spain
, vol.1
, pp. 459-464
-
-
Mascioli, F.M.1
Varazi, G.M.2
Martinelli, G.3
-
16
-
-
8344280356
-
A fuzzy noise-rejection data partitioning algorithm
-
Melek, W. W., Goldenberg, A. A., & Emami, M. R. (2005). A fuzzy noise-rejection data partitioning algorithm. International journal of approximate reasoning 38, 1-17.
-
(2005)
International Journal of Approximate Reasoning
, vol.38
, pp. 1-17
-
-
Melek, W.W.1
Goldenberg, A.A.2
Emami, M.R.3
-
17
-
-
14644444539
-
An Input-Output Clustering Approach to the Synthesis of ANFIS Networks
-
Panella, M., & Gallo, A. S. (2005). An Input-Output Clustering Approach to the Synthesis of ANFIS Networks. IEEE Transactions on Fuzzy Systems, 13(1), 69-81.
-
(2005)
IEEE Transactions On Fuzzy Systems
, vol.13
, Issue.1
, pp. 69-81
-
-
Panella, M.1
Gallo, A.S.2
-
19
-
-
53949088460
-
A fuzzy filter for improving the quality of the signal in adaptive-network-based fuzzy inference systems (ANFIS)
-
Riverol, C., & Di Sanctis, C. (2009). A fuzzy filter for improving the quality of the signal in adaptive-network-based fuzzy inference systems (ANFIS). Applied Soft Computing, 9(1), 305-307.
-
(2009)
Applied Soft Computing
, vol.9
, Issue.1
, pp. 305-307
-
-
Riverol, C.1
Di Sanctis, C.2
-
20
-
-
58849129653
-
Identification using ANFIS with intelligent hybrid stable learning algorithm approaches and stability analysis of training methods
-
Shoorehdeli, M. A., Teshnehlab, M., Sedigh, A. K, & Khanesar, M. A. (2009). Identification using ANFIS with intelligent hybrid stable learning algorithm approaches and stability analysis of training methods. Applied Soft Computing, 9(2), 833-850.
-
(2009)
Applied Soft Computing
, vol.9
, Issue.2
, pp. 833-850
-
-
Shoorehdeli, M.A.1
Teshnehlab, M.2
Sedigh, A.K.3
Khanesar, M.A.4
-
22
-
-
25844530263
-
GA-TSKfnn: Parameters tuning of fuzzy neural network using genetic algorithms
-
Tang, A. M, Quek, C., & Ng, G. S. (2005). GA-TSKfnn: Parameters tuning of fuzzy neural network using genetic algorithms. Expert Systems with Applications 29, 769-781.
-
(2005)
Expert Systems With Applications
, vol.29
, pp. 769-781
-
-
Tang, A.M.1
Quek, C.2
Ng, G.S.3
-
23
-
-
49249089536
-
Novel hybrid learning for tuning ANFIS parameters as an identifiers using fuzzy PSO
-
Sanya, China
-
Teshnehlab, M., Aliyari Shoorehdeli, M., & Sedigh, A.K. (2008). Novel hybrid learning for tuning ANFIS parameters as an identifiers using fuzzy PSO. In Proceedings of IEEE International Conference on Networking, Sensing and Control, Sanya, China, 111-116.
-
(2008)
Proceedings of IEEE International Conference On Networking, Sensing and Control
, pp. 111-116
-
-
Teshnehlab, M.1
Jang, J.-S.M.2
Sedigh, A.K.3
-
25
-
-
33846998660
-
Design of Experiments in Neuro-Fuzzy Systems
-
Zanchettin, C., Minku, F. L, & Ludermir, T. B. (2005). Design of Experiments in Neuro-Fuzzy Systems. In Proceedings of the Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 6, doi: 10.1109/ICHIS.2005.34.
-
(2005)
Proceedings of the Fifth International Conference On Hybrid Intelligent Systems (HIS'05)
, pp. 6
-
-
Zanchettin, C.1
Minku, F.L.2
Ludermir, T.B.3
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