-
1
-
-
0036791593
-
Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models
-
J. Abonyi, R. Babuska, and F. Szeifert Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models IEEE Trans. Syst. Man, Cybern. - Part B 32 5 2002 612 621
-
(2002)
IEEE Trans. Syst. Man, Cybern. - Part B
, vol.32
, Issue.5
, pp. 612-621
-
-
Abonyi, J.1
Babuska, R.2
Szeifert, F.3
-
2
-
-
84868449061
-
A review of some modern approaches to the problem of trend extraction
-
T. Alexandrov, S. Bianconcini, E.B. Dagum, P. Maass, T.S. McElroy, A review of some modern approaches to the problem of trend extraction, US Census Bureau TechReport RRS2008/03, 2008.
-
(2008)
US Census Bureau TechReport RRS2008/03
-
-
Alexandrov, T.1
Bianconcini, S.2
Dagum, E.B.3
Maass, P.4
McElroy, T.S.5
-
6
-
-
0742272554
-
An approach to online identification of TakagiSugeno fuzzy models
-
P. Angelov, and D. Filev An approach to online identification of TakagiSugeno fuzzy models IEEE Trans. Syst., Man, Cybern. B 34 2004 484 498
-
(2004)
IEEE Trans. Syst., Man, Cybern. B
, vol.34
, pp. 484-498
-
-
Angelov, P.1
Filev, D.2
-
7
-
-
58149500793
-
Guest editorial evolving fuzzy systems - Preface to the special section
-
P. Angelo, D. Filev, and N. Kasabov Guest editorial evolving fuzzy systems - preface to the special section IEEE Trans. Fuzzy Syst. 16 2008 1390 1392
-
(2008)
IEEE Trans. Fuzzy Syst.
, vol.16
, pp. 1390-1392
-
-
Angelo, P.1
Filev, D.2
Kasabov, N.3
-
8
-
-
55349130665
-
On line learning fuzzy rule-based system structure from data streams
-
P. Angelov, X. Zhou, On line learning fuzzy rule-based system structure from data streams, in: IEEE Int. Conf. on Fuzzy Systems, 2008, pp. 915-922.
-
(2008)
IEEE Int. Conf. on Fuzzy Systems
, pp. 915-922
-
-
Angelov, P.1
Zhou, X.2
-
9
-
-
0002607813
-
Constructing fuzzy models by product space clustering
-
H. Hellendoorn, D. Driankov, Springer-Verlag Berlin, Germany
-
R. Babuska, and H. Verbruggen Constructing fuzzy models by product space clustering H. Hellendoorn, D. Driankov, Fuzzy Model Identification: Selected Approaches 1997 Springer-Verlag Berlin, Germany 53 90
-
(1997)
Fuzzy Model Identification: Selected Approaches
, pp. 53-90
-
-
Babuska, R.1
Verbruggen, H.2
-
11
-
-
34249988665
-
Extracting qualitative dynamics from experimental data
-
D.S. Broomhead, and G.P. King Extracting qualitative dynamics from experimental data Physica D: Nonlin. Phenom. 20 1986 217 236
-
(1986)
Physica D: Nonlin. Phenom.
, vol.20
, pp. 217-236
-
-
Broomhead, D.S.1
King, G.P.2
-
12
-
-
50149097761
-
Identification of fuzzy models using a successive tuning method with a variant identification ratio
-
J.N. Choi, S.K. Oh, and W. Pedrycz Identification of fuzzy models using a successive tuning method with a variant identification ratio Fuzzy Sets Syst. 159 2008 2873 2889
-
(2008)
Fuzzy Sets Syst.
, vol.159
, pp. 2873-2889
-
-
Choi, J.N.1
Oh, S.K.2
Pedrycz, W.3
-
15
-
-
0033349138
-
An effective neuro-fuzzy paradigm for machinery condition health monitoring
-
Washington, DC
-
G. G. Yen, P. Meesad, An effective neuro-fuzzy paradigm for machinery condition health monitoring, in: Proc. IEEE Int. Joint Conf. IJCNN'99, Washington, DC, 1999, pp. 1567-1572.
-
(1999)
Proc. IEEE Int. Joint Conf. IJCNN'99
, pp. 1567-1572
-
-
Yen, G.G.1
Meesad, P.2
-
18
-
-
0035426538
-
Genetic programming for model selection of TSK-fuzzy systems original research article
-
F. Hoffmann, and O. Nelles Genetic programming for model selection of TSK-fuzzy systems original research article Inform. Sci. 136 2001 7 28
-
(2001)
Inform. Sci.
, vol.136
, pp. 7-28
-
-
Hoffmann, F.1
Nelles, O.2
-
19
-
-
0024137490
-
Increased rates of convergence through learning rate adaptation
-
R.A. Jacobs Increased rates of convergence through learning rate adaptation Neur. Netw. 1 1998 295 308
-
(1998)
Neur. Netw.
, vol.1
, pp. 295-308
-
-
Jacobs, R.A.1
-
20
-
-
0027601884
-
ANFIS: Adaptive-network-based fuzzy inference system
-
J.S.R. Jang 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
-
21
-
-
0036530967
-
DENFIS: Dynamic evolving neural-fuzzy inference system and its application for time series prediction
-
N. Kasabov DENFIS: dynamic evolving neural-fuzzy inference system and its application for time series prediction IEEE Trans. Fuzzy Syst. 2002 144 154
-
(2002)
IEEE Trans. Fuzzy Syst.
, pp. 144-154
-
-
Kasabov, N.1
-
22
-
-
48349123957
-
A new split and merge algorithm for structure identification in Takagi-Sugeno fuzzy model
-
A. Kalhor, B.N. Araabi, C. Lucas, A new split and merge algorithm for structure identification in Takagi-Sugeno fuzzy model, in: Proc. 7th IEEE Int. Conf. on Intelligent Systems Design and Applications, 2007, pp. 258-261.
-
(2007)
Proc. 7th IEEE Int. Conf. on Intelligent Systems Design and Applications
, pp. 258-261
-
-
Kalhor, A.1
Araabi, B.N.2
Lucas, C.3
-
23
-
-
71249131653
-
Online identification of a neurofuzzy model through indirect fuzzy clustering of data space
-
A. Kalhor, B.N. Araabi, C. Lucas, Online identification of a neurofuzzy model through indirect fuzzy clustering of data space, in: Proc. 18th IEEE Int. Conf. on Fuzzy Systems, 2009, pp. 356-359.
-
(2009)
Proc. 18th IEEE Int. Conf. on Fuzzy Systems
, pp. 356-359
-
-
Kalhor, A.1
Araabi, B.N.2
Lucas, C.3
-
24
-
-
79952309310
-
An online predictor model as adaptive habitually linear and transiently nonlinear model
-
A. Kalhor, B.N. Araabi, and C. Lucas An online predictor model as adaptive habitually linear and transiently nonlinear model Evolv. Syst. 1 2010 29 41
-
(2010)
Evolv. Syst.
, vol.1
, pp. 29-41
-
-
Kalhor, A.1
Araabi, B.N.2
Lucas, C.3
-
25
-
-
67349184460
-
T-S fuzzy model identification based on a novel fuzzy c-regression model clustering algorithm
-
C. Li, J. Zhou, X. Xiang, Q. Li, and X. An T-S fuzzy model identification based on a novel fuzzy c-regression model clustering algorithm Eng. Appl. Artif. Intell. 22 2009 646 653
-
(2009)
Eng. Appl. Artif. Intell.
, vol.22
, pp. 646-653
-
-
Li, C.1
Zhou, J.2
Xiang, X.3
Li, Q.4
An, X.5
-
26
-
-
55249122198
-
FLEXFIS: A robust incremental learning approach for evolving Takagi-Sugeno fuzzy models
-
E.D. Lughofer FLEXFIS: a robust incremental learning approach for evolving Takagi-Sugeno fuzzy models IEEE Trans. Fuzzy Syst. 16 2008 1393 1410
-
(2008)
IEEE Trans. Fuzzy Syst.
, vol.16
, pp. 1393-1410
-
-
Lughofer, E.D.1
-
28
-
-
0038927293
-
-
Department of Electrical Engineering, ESAT/SISTA, K.U.Leuven, Belgium, < ∼ smc/daisy/> (visited on 10.10.10)
-
B.L.R. De Moor (Ed.), DaISy: Database for the Identification of Systems, Department of Electrical Engineering, ESAT/SISTA, K.U.Leuven, Belgium, < http://homes.esat.kuleuven.be/ ∼ smc/daisy/> (visited on 10.10.10).
-
DaISy: Database for the Identification of Systems
-
-
De Moor, B.L.R.1
-
30
-
-
70350605478
-
Data-driven fuzzy modeling for Takagi-Sugeno-Kang fuzzy system
-
B. Rezaee, and M.H. Fazel Zarandi Data-driven fuzzy modeling for Takagi-Sugeno-Kang fuzzy system Inform. Sci. 180 2010 241 255
-
(2010)
Inform. Sci.
, vol.180
, pp. 241-255
-
-
Rezaee, B.1
Fazel Zarandi, M.H.2
-
32
-
-
0021892282
-
Fuzzy identification of systems and its applications to modeling and control
-
T. Takagi, and M. Sugeno Fuzzy identification of systems and its applications to modeling and control IEEE Trans. Syst. Man, Cybern. 15 1 1985 116 132
-
(1985)
IEEE Trans. Syst. Man, Cybern.
, vol.15
, Issue.1
, pp. 116-132
-
-
Takagi, T.1
Sugeno, M.2
-
34
-
-
10844260641
-
MS-TSKfnn: Novel Takagi-Sugeno-Kang fuzzy neural network using ART like clustering
-
D. Wang, C. Quek, and G.S. Ng MS-TSKfnn: novel Takagi-Sugeno-Kang fuzzy neural network using ART like clustering Proc. IEEE Int. Joint Conf. Neur. Netw. 3 2004 2361 2366
-
(2004)
Proc. IEEE Int. Joint Conf. Neur. Netw.
, vol.3
, pp. 2361-2366
-
-
Wang, D.1
Quek, C.2
Ng, G.S.3
-
35
-
-
0026928374
-
Fuzzy basis functions, universal approximation and orthogonal least-squares learning
-
L. Wang, and J. Mendel Fuzzy basis functions, universal approximation and orthogonal least-squares learning IEEE Trans. Neur. Netw. 3 1992 807 814
-
(1992)
IEEE Trans. Neur. Netw.
, vol.3
, pp. 807-814
-
-
Wang, L.1
Mendel, J.2
-
36
-
-
0031988675
-
Extracting fuzzy rules for system modeling using a hybrid of genetic algorithm and Kalman filter
-
L. Wang, and J. Yen Extracting fuzzy rules for system modeling using a hybrid of genetic algorithm and Kalman filter Fuzzy Sets Syst. 101 1999 353 362
-
(1999)
Fuzzy Sets Syst.
, vol.101
, pp. 353-362
-
-
Wang, L.1
Yen, J.2
-
37
-
-
0025724253
-
A method for self-determination of adaptive learning rates in back propagation
-
M. Weir A method for self-determination of adaptive learning rates in back propagation Neur. Netw. 4 1991 371 379
-
(1991)
Neur. Netw.
, vol.4
, pp. 371-379
-
-
Weir, M.1
-
39
-
-
0040527678
-
-
Machine Intelligence Institute, Iona College, New Rochelle, NY 10801, Tech. Rep. MII-1318R
-
R. Yager, D. Filev, Generation of fuzzy rules by mountain clustering, Machine Intelligence Institute, Iona College, New Rochelle, NY 10801, Tech. Rep. MII-1318R, 1994.
-
(1994)
Generation of Fuzzy Rules by Mountain Clustering
-
-
Yager, R.1
Filev, D.2
|