-
1
-
-
13144294059
-
Memory retention - The synaptic stability versus plasticity dilemma
-
W.C. Abraham, and A. Robins Memory retention - the synaptic stability versus plasticity dilemma Trends in Neurosciences 28 2 2005 73 78
-
(2005)
Trends in Neurosciences
, vol.28
, Issue.2
, pp. 73-78
-
-
Abraham, W.C.1
Robins, A.2
-
3
-
-
79960533640
-
Special issue on interpretable fuzzy systems
-
J.M. Alonso, and L. Magdalena Special issue on interpretable fuzzy systems Information Sciences 181 2011 4331 4339
-
(2011)
Information Sciences
, vol.181
, pp. 4331-4339
-
-
Alonso, J.M.1
Magdalena, L.2
-
4
-
-
23944495345
-
SimpleTS: A simplified method for learning evolving Takagi-Sugeno fuzzy models
-
Reno, Nevada, USA
-
P. Angelov, D. Filev, SimpleTS: a simplified method for learning evolving Takagi-Sugeno fuzzy models, in: Proceedings of FUZZ-IEEE 2005, Reno, Nevada, USA, 2005, pp. 1068-1073.
-
(2005)
Proceedings of FUZZ-IEEE 2005
, pp. 1068-1073
-
-
Angelov, P.1
Filev, D.2
-
6
-
-
79951925823
-
Evolving inferential sensors in the chemical process industry
-
P. Angelov, D. Filev, N. Kasabov, John Wiley & Sons New York
-
P. Angelov, and A. Kordon Evolving inferential sensors in the chemical process industry P. Angelov, D. Filev, N. Kasabov, Evolving Intelligent Systems: Methodology and Applications 2010 John Wiley & Sons New York 313 336
-
(2010)
Evolving Intelligent Systems: Methodology and Applications
, pp. 313-336
-
-
Angelov, P.1
Kordon, A.2
-
7
-
-
58149524918
-
Evolving fuzzy-rule-based classifiers from data streams
-
P. Angelov, and X. Zhou Evolving fuzzy-rule-based classifiers from data streams IEEE Transactions on Fuzzy Systems 16 6 2008 1462 1475
-
(2008)
IEEE Transactions on Fuzzy Systems
, vol.16
, Issue.6
, pp. 1462-1475
-
-
Angelov, P.1
Zhou, X.2
-
9
-
-
1142279663
-
An approach for fuzzy rule-base adaptation using on-line clustering
-
P.P. Angelov An approach for fuzzy rule-base adaptation using on-line clustering International Journal on Approximate Reasoning 35 3 2004 275 289
-
(2004)
International Journal on Approximate Reasoning
, vol.35
, Issue.3
, pp. 275-289
-
-
Angelov, P.P.1
-
10
-
-
84886838236
-
Evolving Takagi-Sugeno fuzzy systems from streaming data, eTS+
-
P. Angelov, D. Filev, N. Kasabov, John Wiley & Sons New York
-
P.P. Angelov Evolving Takagi-Sugeno fuzzy systems from streaming data, eTS+ P. Angelov, D. Filev, N. Kasabov, Evolving Intelligent Systems: Methodology and Applications 2010 John Wiley & Sons New York 21 50
-
(2010)
Evolving Intelligent Systems: Methodology and Applications
, pp. 21-50
-
-
Angelov, P.P.1
-
11
-
-
0742272554
-
An approach to online identification of Takagi-Sugeno fuzzy models
-
P.P. Angelov, and D. Filev An approach to online identification of Takagi-Sugeno fuzzy models IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics 34 1 2004 484 498
-
(2004)
IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics
, vol.34
, Issue.1
, pp. 484-498
-
-
Angelov, P.P.1
Filev, D.2
-
12
-
-
53149134642
-
Evolving fuzzy classifiers using different model architectures
-
P.P. Angelov, E. Lughofer, and X. Zhou Evolving fuzzy classifiers using different model architectures Fuzzy Sets and Systems 159 23 2008 3160 3182
-
(2008)
Fuzzy Sets and Systems
, vol.159
, Issue.23
, pp. 3160-3182
-
-
Angelov, P.P.1
Lughofer, E.2
Zhou, X.3
-
13
-
-
0033280731
-
A highly interpretable form of Sugeno inference systems
-
M. Bikdash A highly interpretable form of Sugeno inference systems IEEE Transactions on Fuzzy Systems 7 6 1999 686 696
-
(1999)
IEEE Transactions on Fuzzy Systems
, vol.7
, Issue.6
, pp. 686-696
-
-
Bikdash, M.1
-
16
-
-
0035426683
-
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems
-
J. Casillas, O. Cordon, M.J. Del Jesus, and F. Herrera Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems Information Sciences 136 1-4 2001 135 157
-
(2001)
Information Sciences
, vol.136
, Issue.14
, pp. 135-157
-
-
Casillas, J.1
Cordon, O.2
Del Jesus, M.J.3
Herrera, F.4
-
17
-
-
2442602088
-
A neuro-fuzzy network to generate human-understandable knowledge from data
-
G. Castellano, A.M. Fanelli, and C. Mencar A neuro-fuzzy network to generate human-understandable knowledge from data Cognitive Systems Research 3 2002 125 144
-
(2002)
Cognitive Systems Research
, vol.3
, pp. 125-144
-
-
Castellano, G.1
Fanelli, A.M.2
Mencar, C.3
-
20
-
-
0034387057
-
Novel fuzzy logic control based on weighting of partially inconsistent rules using neural network
-
J.S. Cho, and D.J. Park Novel fuzzy logic control based on weighting of partially inconsistent rules using neural network Journal of Intelligent and Fuzzy Systems 8 2 2000 99 110
-
(2000)
Journal of Intelligent and Fuzzy Systems
, vol.8
, Issue.2
, pp. 99-110
-
-
Cho, J.S.1
Park, D.J.2
-
21
-
-
0033116717
-
Heuristic constraints enforcement for training of and knowledge extraction from a fuzzy/neural architecture Part ii: Implementation and application
-
M.-Y. Chow, S. Altug, and H.J. Trussell Heuristic constraints enforcement for training of and knowledge extraction from a fuzzy/neural architecture Part ii: Implementation and application IEEE Transactions on Fuzzy Systems 7 2 1999 151 159
-
(1999)
IEEE Transactions on Fuzzy Systems
, vol.7
, Issue.2
, pp. 151-159
-
-
Chow, M.-Y.1
Altug, S.2
Trussell, H.J.3
-
23
-
-
84867590789
-
Solving the sales prediction problem with fuzzy evolving methods
-
Brisbane, Australia
-
D. Dovzan, V. Logar, I. Skrjanc, Solving the sales prediction problem with fuzzy evolving methods, in: WCCI 2012 IEEE World Congress on Computational Intelligence, Brisbane, Australia, 2012.
-
(2012)
WCCI 2012 IEEE World Congress on Computational Intelligence
-
-
Dovzan, D.1
Logar, V.2
Skrjanc, I.3
-
24
-
-
79952714043
-
Recursive clustering based on a Gustafson-Kessel algorithm
-
D. Dovzan, and I. Skrjanc Recursive clustering based on a Gustafson-Kessel algorithm Evolving Systems 2 1 2011 15 24
-
(2011)
Evolving Systems
, vol.2
, Issue.1
, pp. 15-24
-
-
Dovzan, D.1
Skrjanc, I.2
-
26
-
-
77956611369
-
Assessment of the influence of adaptive components in trainable surface inspection systems
-
C. Eitzinger, W. Heidl, E. Lughofer, S. Raiser, J.E. Smith, M.A. Tahir, D. Sannen, and H. van Brussel Assessment of the influence of adaptive components in trainable surface inspection systems Machine Vision and Applications 21 5 2010 613 626
-
(2010)
Machine Vision and Applications
, vol.21
, Issue.5
, pp. 613-626
-
-
Eitzinger, C.1
Heidl, W.2
Lughofer, E.3
Raiser, S.4
Smith, J.E.5
Tahir, M.A.6
Sannen, D.7
Van Brussel, H.8
-
27
-
-
77649154452
-
An intelligent decision support system based on machine learning and dynamic track of psychological evaluation criterion
-
J. Kacpzryk, Springer Heidelberg Berlin
-
J. Feng An intelligent decision support system based on machine learning and dynamic track of psychological evaluation criterion J. Kacpzryk, Intelligent Decision and Policy Making Support Systems 2008 Springer Heidelberg Berlin
-
(2008)
Intelligent Decision and Policy Making Support Systems
-
-
Feng, J.1
-
28
-
-
0005540091
-
A constrained Takagi-Sugeno fuzzy system that allows for better interpretation and analysis
-
A. Fiordaliso A constrained Takagi-Sugeno fuzzy system that allows for better interpretation and analysis Fuzzy Sets and Systems 118 2 2001 281 296
-
(2001)
Fuzzy Sets and Systems
, vol.118
, Issue.2
, pp. 281-296
-
-
Fiordaliso, A.1
-
30
-
-
79960555001
-
Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures
-
M.J. Gacto, R. Alcala, and F. Herrera Interpretability of linguistic fuzzy rule-based systems: an overview of interpretability measures Information Sciences 181 20 2011 4340 4360
-
(2011)
Information Sciences
, vol.181
, Issue.20
, pp. 4340-4360
-
-
Gacto, M.J.1
Alcala, R.2
Herrera, F.3
-
33
-
-
17444428905
-
Second-order training of adaptive critics for online process control
-
J.J. Govindhasamy, S.F. McLoone, and G.W. Irwin Second-order training of adaptive critics for online process control IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics 35 2 2006 381 385
-
(2006)
IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics
, vol.35
, Issue.2
, pp. 381-385
-
-
Govindhasamy, J.J.1
McLoone, S.F.2
Irwin, G.W.3
-
34
-
-
84868492821
-
Local model network identification for online engine modelling
-
C. Hametner, and S. Jakubek Local model network identification for online engine modelling Information Sciences 220 2013 210 225
-
(2013)
Information Sciences
, vol.220
, pp. 210-225
-
-
Hametner, C.1
Jakubek, S.2
-
35
-
-
70350344547
-
RBF learning in a non-stationary environment: The stability-plasticity dilemma
-
R.J. Howlett, L.C. Jain, Physica Verlag Heidelberg, New York
-
F.H. Hamker RBF learning in a non-stationary environment: the stability-plasticity dilemma R.J. Howlett, L.C. Jain, Radial Basis Function Networks 1: Recent Developments in Theory and Applications 2001 Physica Verlag Heidelberg, New York 219 251
-
(2001)
Radial Basis Function Networks 1: Recent Developments in Theory and Applications
, pp. 219-251
-
-
Hamker, F.H.1
-
38
-
-
34547828776
-
Comments on distinguishability quantification of fuzzy sets
-
H.A. Hefny Comments on distinguishability quantification of fuzzy sets Information Sciences 177 2007 4832 4839
-
(2007)
Information Sciences
, vol.177
, pp. 4832-4839
-
-
Hefny, H.A.1
-
39
-
-
18844362190
-
TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy
-
L.J. Herrera, H. Pomares, I. Rojas, O. Valenzuela, and A. Prieto TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy Fuzzy Sets and Systems 153 3 2005 403 427
-
(2005)
Fuzzy Sets and Systems
, vol.153
, Issue.3
, pp. 403-427
-
-
Herrera, L.J.1
Pomares, H.2
Rojas, I.3
Valenzuela, O.4
Prieto, A.5
-
40
-
-
79952316981
-
Incremental linear discriminant analysis for evolving feature spaces in multitask pattern recognition problems
-
M. Hisada, S. Ozawa, K. Zhang, and N. Kasabov Incremental linear discriminant analysis for evolving feature spaces in multitask pattern recognition problems Evolving Systems 1 1 2010 17 27
-
(2010)
Evolving Systems
, vol.1
, Issue.1
, pp. 17-27
-
-
Hisada, M.1
Ozawa, S.2
Zhang, K.3
Kasabov, N.4
-
41
-
-
0031997059
-
Supervised classification in high-dimensional space: Geometrical, statistical, and asymptotical properties of multivariate data
-
L.O. Jimenez, and D.A. Landgrebe Supervised classification in high-dimensional space: geometrical, statistical, and asymptotical properties of multivariate data IEEE Transactions on Systems, Man and Cybernetics, part C: Reviews and Applications 28 1 1998 39 54
-
(1998)
IEEE Transactions on Systems, Man and Cybernetics, Part C: Reviews and Applications
, vol.28
, Issue.1
, pp. 39-54
-
-
Jimenez, L.O.1
Landgrebe, D.A.2
-
42
-
-
0033704546
-
Fuzzy modelling of high dimensional systems: Complexity reduction and interpretability improvement
-
Y. Jin Fuzzy modelling of high dimensional systems: complexity reduction and interpretability improvement IEEE Transactions on Fuzzy Systems 8 2 2000 212 221
-
(2000)
IEEE Transactions on Fuzzy Systems
, vol.8
, Issue.2
, pp. 212-221
-
-
Jin, Y.1
-
43
-
-
0031999146
-
An on-line self-constructing neural fuzzy inference network and its applications
-
C.F. Juang, and C.T. Lin An on-line self-constructing neural fuzzy inference network and its applications IEEE Transactions on Fuzzy Systems 6 1 1998 12 32
-
(1998)
IEEE Transactions on Fuzzy Systems
, vol.6
, Issue.1
, pp. 12-32
-
-
Juang, C.F.1
Lin, C.T.2
-
44
-
-
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 Evolving Systems 1 1 2010 29 41
-
(2010)
Evolving Systems
, vol.1
, Issue.1
, pp. 29-41
-
-
Kalhor, A.1
Araabi, B.N.2
Lucas, C.3
-
45
-
-
0036530967
-
DENFIS: Dynamic evolving neural-fuzzy inference system and its application for time-series prediction
-
N.K. Kasabov, and Q. Song DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction IEEE Transactions on Fuzzy Systems 10 2 2002 144 154
-
(2002)
IEEE Transactions on Fuzzy Systems
, vol.10
, Issue.2
, pp. 144-154
-
-
Kasabov, N.K.1
Song, Q.2
-
46
-
-
0004128728
-
-
Kluwer Academic Publishers Dordrecht Norwell New York London
-
E.P. Klement, R. Mesiar, and E. Pap Triangular Norms 2000 Kluwer Academic Publishers Dordrecht Norwell New York London
-
(2000)
Triangular Norms
-
-
Klement, E.P.1
Mesiar, R.2
Pap, E.3
-
47
-
-
84883713774
-
Learning drifting concepts: Example selection vs. example weighting
-
R. Klinkenberg Learning drifting concepts: example selection vs. example weighting Intelligent Data Analysis 8 3 2004 281 300
-
(2004)
Intelligent Data Analysis
, vol.8
, Issue.3
, pp. 281-300
-
-
Klinkenberg, R.1
-
48
-
-
84860482184
-
Introducing evolving Takagi-Sugeno method based on local least squares support vector machine models
-
M. Komijani, C. Lucas, B.N. Araabi, and A. Kalhor Introducing evolving Takagi-Sugeno method based on local least squares support vector machine models Evolving Systems 3 2 2012 81 93
-
(2012)
Evolving Systems
, vol.3
, Issue.2
, pp. 81-93
-
-
Komijani, M.1
Lucas, C.2
Araabi, B.N.3
Kalhor, A.4
-
52
-
-
84860424873
-
Evolving fuzzy granular modeling from nonstationary fuzzy data streams
-
D. Leite, R. Ballini, P. Costa, and F. Gomide Evolving fuzzy granular modeling from nonstationary fuzzy data streams Evolving Systems 3 2 2012 65 79
-
(2012)
Evolving Systems
, vol.3
, Issue.2
, pp. 65-79
-
-
Leite, D.1
Ballini, R.2
Costa, P.3
Gomide, F.4
-
53
-
-
84930328686
-
Interval approach for evolving granular system modeling
-
M. Sayed-Mouchaweh, E. Lughofer, Springer New York
-
D. Leite, P. Costa, and F. Gomide Interval approach for evolving granular system modeling M. Sayed-Mouchaweh, E. Lughofer, Learning in Non-Stationary Environments: Methods and Applications 2012 Springer New York 271 300
-
(2012)
Learning in Non-Stationary Environments: Methods and Applications
, pp. 271-300
-
-
Leite, D.1
Costa, P.2
Gomide, F.3
-
54
-
-
84864839130
-
Adaptive fault detection and diagnosis using an evolving fuzzy classifier
-
A. Lemos, W. Caminhas, and F. Gomide Adaptive fault detection and diagnosis using an evolving fuzzy classifier Information Sciences 220 2013 64 85
-
(2013)
Information Sciences
, vol.220
, pp. 64-85
-
-
Lemos, A.1
Caminhas, W.2
Gomide, F.3
-
56
-
-
68849097314
-
A hybrid learning algorithm with a similarity-based pruning strategy for self-adaptive neuro-fuzzy systems
-
G. Leng A hybrid learning algorithm with a similarity-based pruning strategy for self-adaptive neuro-fuzzy systems Applied Soft Computing 9 4 2009 1354 1366
-
(2009)
Applied Soft Computing
, vol.9
, Issue.4
, pp. 1354-1366
-
-
Leng, G.1
-
57
-
-
11244351634
-
An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network
-
G. Leng, T.M. McGinnity, and G. Prasad An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network Fuzzy Sets and Systems 150 2 2005 211 243
-
(2005)
Fuzzy Sets and Systems
, vol.150
, Issue.2
, pp. 211-243
-
-
Leng, G.1
McGinnity, T.M.2
Prasad, G.3
-
58
-
-
84857877306
-
An improved approach of self-organising fuzzy neural network based on similarity measures
-
G. Leng, X.-J. Zeng, and J.A. Keane An improved approach of self-organising fuzzy neural network based on similarity measures Evolving Systems 3 1 2012 19 30
-
(2012)
Evolving Systems
, vol.3
, Issue.1
, pp. 19-30
-
-
Leng, G.1
Zeng, X.-J.2
Keane, J.A.3
-
59
-
-
0035131889
-
A pruning method for the recursive least squares algorithm
-
C.S. Leung, K.W. Wong, P.F. Sum, and L.W. Chan A pruning method for the recursive least squares algorithm Neural Networks 14 2 2001 147 174
-
(2001)
Neural Networks
, vol.14
, Issue.2
, pp. 147-174
-
-
Leung, C.S.1
Wong, K.W.2
Sum, P.F.3
Chan, L.W.4
-
60
-
-
78751625859
-
Evolving fuzzy modeling using participatory learning
-
P. Angelov, D. Filev, N. Kasabov, John Wiley & Sons New York
-
E. Lima, M. Hell, R. Ballini, and F. Gomide Evolving fuzzy modeling using participatory learning P. Angelov, D. Filev, N. Kasabov, Evolving Intelligent Systems: Methodology and Applications 2010 John Wiley & Sons New York 67 86
-
(2010)
Evolving Intelligent Systems: Methodology and Applications
, pp. 67-86
-
-
Lima, E.1
Hell, M.2
Ballini, R.3
Gomide, F.4
-
61
-
-
84883257812
-
Identification and prediction of dynamic systems using an interactively recurrent self-evolving fuzzy neural network
-
Y.Y. Lin, J.-Y. Chang, and C.-T. Lin Identification and prediction of dynamic systems using an interactively recurrent self-evolving fuzzy neural network IEEE Transactions on Neural Networks and Learning Systems 24 2 2013 310 321
-
(2013)
IEEE Transactions on Neural Networks and Learning Systems
, vol.24
, Issue.2
, pp. 310-321
-
-
Lin, Y.Y.1
Chang, J.-Y.2
Lin, C.-T.3
-
62
-
-
0003473124
-
-
Prentice Hall PTR, Prentic Hall Inc. Upper Saddle River, New Jersey
-
L. Ljung System Identification: Theory for the User 1999 Prentice Hall PTR, Prentic Hall Inc. Upper Saddle River, New Jersey
-
(1999)
System Identification: Theory for the User
-
-
Ljung, L.1
-
64
-
-
84901978687
-
Human-inspired evolving machines - The next generation of evolving intelligent systems?
-
E. Lughofer Human-inspired evolving machines - the next generation of evolving intelligent systems? SMC Newsletter 36 2011
-
(2011)
SMC Newsletter
, vol.36
-
-
Lughofer, E.1
-
65
-
-
78249273286
-
On-line incremental feature weighting in evolving fuzzy classifiers
-
E. Lughofer On-line incremental feature weighting in evolving fuzzy classifiers Fuzzy Sets and Systems 163 1 2011 1 23
-
(2011)
Fuzzy Sets and Systems
, vol.163
, Issue.1
, pp. 1-23
-
-
Lughofer, E.1
-
66
-
-
84876116243
-
Flexible evolving fuzzy inference systems from data streams (FLEXFIS++)
-
M. Sayed-Mouchaweh, E. Lughofer, Springer New York
-
E. Lughofer Flexible evolving fuzzy inference systems from data streams (FLEXFIS++) M. Sayed-Mouchaweh, E. Lughofer, Learning in Non-Stationary Environments: Methods and Applications 2012 Springer New York 205 246
-
(2012)
Learning in Non-Stationary Environments: Methods and Applications
, pp. 205-246
-
-
Lughofer, E.1
-
67
-
-
84869138360
-
Single-pass active learning with conflict and ignorance
-
E. Lughofer Single-pass active learning with conflict and ignorance Evolving Systems 3 4 2012 251 271
-
(2012)
Evolving Systems
, vol.3
, Issue.4
, pp. 251-271
-
-
Lughofer, E.1
-
68
-
-
78751630981
-
Handling drifts and shifts in on-line data streams with evolving fuzzy systems
-
E. Lughofer, and P. Angelov Handling drifts and shifts in on-line data streams with evolving fuzzy systems Applied Soft Computing 11 2 2011 2057 2068
-
(2011)
Applied Soft Computing
, vol.11
, Issue.2
, pp. 2057-2068
-
-
Lughofer, E.1
Angelov, P.2
-
69
-
-
79961039032
-
On-line elimination of local redundancies in evolving fuzzy systems
-
E. Lughofer, J.-L. Bouchot, and A. Shaker On-line elimination of local redundancies in evolving fuzzy systems Evolving Systems 2 3 2011 165 187
-
(2011)
Evolving Systems
, vol.2
, Issue.3
, pp. 165-187
-
-
Lughofer, E.1
Bouchot, J.-L.2
Shaker, A.3
-
70
-
-
84881333563
-
Reliable all-pairs evolving fuzzy classifiers
-
10.1109/TFUZZ.2012.2226892
-
E. Lughofer, and O. Buchtala Reliable all-pairs evolving fuzzy classifiers IEEE Transactions on Fuzzy Systems 21 3 2013 10.1109/TFUZZ.2012. 2226892
-
(2013)
IEEE Transactions on Fuzzy Systems
, vol.21
, Issue.3
-
-
Lughofer, E.1
Buchtala, O.2
-
71
-
-
84930334398
-
On-line quality control with flexible evolving fuzzy systems
-
M. Sayed-Mouchaweh, E. Lughofer, Springer New York
-
E. Lughofer, C. Eitzinger, and C. Guardiola On-line quality control with flexible evolving fuzzy systems M. Sayed-Mouchaweh, E. Lughofer, Learning in Non-Stationary Environments: Methods and Applications 2012 Springer New York 375 406
-
(2012)
Learning in Non-Stationary Environments: Methods and Applications
, pp. 375-406
-
-
Lughofer, E.1
Eitzinger, C.2
Guardiola, C.3
-
72
-
-
84859859096
-
On-line redundancy elimination in evolving fuzzy regression models using a fuzzy inclusion measure
-
Elsevier Aix-Les-Bains, France
-
E. Lughofer, and E. Hüllermeier On-line redundancy elimination in evolving fuzzy regression models using a fuzzy inclusion measure Proceedings of the EUSFLAT 2011 Conference 2011 Elsevier Aix-Les-Bains, France 380 387
-
(2011)
Proceedings of the EUSFLAT 2011 Conference
, pp. 380-387
-
-
Lughofer, E.1
Hüllermeier, E.2
-
73
-
-
84871941909
-
Improving the interpretability of data-driven evolving fuzzy systems
-
Barcelona, Spain
-
E. Lughofer, E. Hüllermeier, E.P. Klement, Improving the interpretability of data-driven evolving fuzzy systems, in: Proceedings of EUSFLAT 2005, Barcelona, Spain, 2005, pp. 28-33.
-
(2005)
Proceedings of EUSFLAT 2005
, pp. 28-33
-
-
Lughofer, E.1
-
74
-
-
69649085410
-
Human-machine interaction issues in quality control based on on-line image classification
-
E. Lughofer, J.E. Smith, P. Caleb-Solly, M.A. Tahir, C. Eitzinger, D. Sannen, and M. Nuttin Human-machine interaction issues in quality control based on on-line image classification IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 39 5 2009 960 971
-
(2009)
IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans
, vol.39
, Issue.5
, pp. 960-971
-
-
Lughofer, E.1
Smith, J.E.2
Caleb-Solly, P.3
Tahir, M.A.4
Eitzinger, C.5
Sannen, D.6
Nuttin, M.7
-
75
-
-
80052930921
-
On employing fuzzy modeling algorithms for the valuation of residential premises
-
E. Lughofer, B. Trawinski, K. Trawinski, O. Kempa, and T. Lasota On employing fuzzy modeling algorithms for the valuation of residential premises Information Sciences 181 23 2011 5123 5142
-
(2011)
Information Sciences
, vol.181
, Issue.23
, pp. 5123-5142
-
-
Lughofer, E.1
Trawinski, B.2
Trawinski, K.3
Kempa, O.4
Lasota, T.5
-
76
-
-
79951895881
-
Applications of evolving intelligent systems to the oil and gas industry
-
P. Angelov, D. Filev, N. Kasabov, John Wiley & Sons New York
-
J. Macias-Hernandez, and P. Angelov Applications of evolving intelligent systems to the oil and gas industry P. Angelov, D. Filev, N. Kasabov, Evolving Intelligent Systems: Methodology and Applications 2010 John Wiley & Sons New York 401 421
-
(2010)
Evolving Intelligent Systems: Methodology and Applications
, pp. 401-421
-
-
Macias-Hernandez, J.1
Angelov, P.2
-
77
-
-
84857869648
-
Evolving fuzzy systems for pricing fixed income options
-
L. Maciel, A. Lemos, F. Gomide, and R. Ballini Evolving fuzzy systems for pricing fixed income options Evolving Systems 3 1 2012 5 18
-
(2012)
Evolving Systems
, vol.3
, Issue.1
, pp. 5-18
-
-
Maciel, L.1
Lemos, A.2
Gomide, F.3
Ballini, R.4
-
78
-
-
0017703889
-
Application of fuzzy logic to approximate reasoning using linguistic systems
-
E.H. Mamdani Application of fuzzy logic to approximate reasoning using linguistic systems Fuzzy Sets and Systems 26 12 1977 1182 1191
-
(1977)
Fuzzy Sets and Systems
, vol.26
, Issue.12
, pp. 1182-1191
-
-
Mamdani, E.H.1
-
79
-
-
0000169232
-
An algorithm for least-squares estimation of nonlinear parameters
-
D. Marquardt An algorithm for least-squares estimation of nonlinear parameters SIAM Journal on Applied Mathematics 11 2 1963 431 441
-
(1963)
SIAM Journal on Applied Mathematics
, vol.11
, Issue.2
, pp. 431-441
-
-
Marquardt, D.1
-
82
-
-
0034343476
-
Adaptive rule weights in neuro-fuzzy systems
-
D. Nauck Adaptive rule weights in neuro-fuzzy systems Neural Computing and Applications 9 2000 60 70
-
(2000)
Neural Computing and Applications
, vol.9
, pp. 60-70
-
-
Nauck, D.1
-
83
-
-
0031627851
-
How the learning of rule weights affects the interpretability of fuzzy systems
-
Anchorage, Alaska
-
D. Nauck, R. Kruse, How the learning of rule weights affects the interpretability of fuzzy systems, in: Proceedings of Fuzz-IEEE '98, Anchorage, Alaska, 1998, pp. 1235-1240.
-
(1998)
Proceedings of Fuzz-IEEE '98
, pp. 1235-1240
-
-
Nauck, D.1
Kruse, R.2
-
85
-
-
0033716744
-
Efficient training of neural nets for nonlinear adaptive filtering using a recursive Levenberg-Marquardt algorithm
-
L.S.H. Ngia, and J. Sjöberg Efficient training of neural nets for nonlinear adaptive filtering using a recursive Levenberg-Marquardt algorithm IEEE Transactions on Signal Processing 48 7 2000 1915 1926
-
(2000)
IEEE Transactions on Signal Processing
, vol.48
, Issue.7
, pp. 1915-1926
-
-
Ngia, L.S.H.1
Sjöberg, J.2
-
86
-
-
0039721726
-
Towards neuro-linguistic modeling: Constraints for optimization of membership functions
-
J. Valente De Oliveira Towards neuro-linguistic modeling: constraints for optimization of membership functions Fuzzy Sets and Systems 106 1999 357 380
-
(1999)
Fuzzy Sets and Systems
, vol.106
, pp. 357-380
-
-
Valente De Oliveira, J.1
-
87
-
-
0033416388
-
Handling of inconsistent rules with an extended model of fuzzy reasoning
-
N.R. Pal, and K. Pal Handling of inconsistent rules with an extended model of fuzzy reasoning Journal of Intelligent and Fuzzy Systems 7 1999 55 73
-
(1999)
Journal of Intelligent and Fuzzy Systems
, vol.7
, pp. 55-73
-
-
Pal, N.R.1
Pal, K.2
-
88
-
-
84883245368
-
A granular description of data: A study in evolvable systems
-
M. Sayed-Mouchaweh, E. Lughofer, Springer New York
-
W. Pedrycz, J. Berezowski, and I. Jamal A granular description of data: a study in evolvable systems M. Sayed-Mouchaweh, E. Lughofer, Learning in Non-Stationary Environments: Methods and Applications 2012 Springer New York 57 76
-
(2012)
Learning in Non-Stationary Environments: Methods and Applications
, pp. 57-76
-
-
Pedrycz, W.1
Berezowski, J.2
Jamal, I.3
-
91
-
-
84876111017
-
Data driven modeling based on dynamic parsimonious fuzzy neural network
-
M. Pratama, M.J. Er, X. Li, R.J. Oentaryo, E. Lughofer, and I. Arifin Data driven modeling based on dynamic parsimonious fuzzy neural network Neurocomputing 110 2013 18 28
-
(2013)
Neurocomputing
, vol.110
, pp. 18-28
-
-
Pratama, M.1
Er, M.J.2
Li, X.3
Oentaryo, R.J.4
Lughofer, E.5
Arifin, I.6
-
92
-
-
79951883690
-
The building of interpretable systems in real-time
-
P. Angelov, D. Filev, N. Kasabov, John Wiley & Sons New York
-
J.V. Ramos, C. Pereira, and A. Dourado The building of interpretable systems in real-time P. Angelov, D. Filev, N. Kasabov, Evolving Intelligent Systems: Methodology and Applications 2010 John Wiley & Sons New York 127 150
-
(2010)
Evolving Intelligent Systems: Methodology and Applications
, pp. 127-150
-
-
Ramos, J.V.1
Pereira, C.2
Dourado, A.3
-
93
-
-
79960559801
-
Identification of transparent, compact, accurate and reliable linguistic fuzzy models
-
A. Riid, and E. Rüstern Identification of transparent, compact, accurate and reliable linguistic fuzzy models Information Sciences 181 20 2011 4378 4393
-
(2011)
Information Sciences
, vol.181
, Issue.20
, pp. 4378-4393
-
-
Riid, A.1
Rüstern, E.2
-
94
-
-
84930347608
-
Sequential adaptive fuzzy inference system for function approximation problems
-
M. Sayed-Mouchaweh, E. Lughofer, Springer New York
-
H.-J. Rong Sequential adaptive fuzzy inference system for function approximation problems M. Sayed-Mouchaweh, E. Lughofer, Learning in Non-Stationary Environments: Methods and Applications 2012 Springer New York
-
(2012)
Learning in Non-Stationary Environments: Methods and Applications
-
-
Rong, H.-J.1
-
95
-
-
33645070541
-
Sequential adaptive fuzzy inference system (SAFIS) for nonlinear system identification and prediction
-
H.-J. Rong, N. Sundararajan, G.-B. Huang, and P. Saratchandran Sequential adaptive fuzzy inference system (SAFIS) for nonlinear system identification and prediction Fuzzy Sets and Systems 157 9 2006 1260 1275
-
(2006)
Fuzzy Sets and Systems
, vol.157
, Issue.9
, pp. 1260-1275
-
-
Rong, H.-J.1
Sundararajan, N.2
Huang, G.-B.3
Saratchandran, P.4
-
96
-
-
79955737401
-
Extended sequential adaptive fuzzy inference system for classification problems
-
H.-J. Rong, N. Sundararajan, G.-B. Huang, and G.-S. Zhao Extended sequential adaptive fuzzy inference system for classification problems Evolving Systems 2 2 2011 71 82
-
(2011)
Evolving Systems
, vol.2
, Issue.2
, pp. 71-82
-
-
Rong, H.-J.1
Sundararajan, N.2
Huang, G.-B.3
Zhao, G.-S.4
-
97
-
-
78549245760
-
Enforcing local properties in online learning first order TS-fuzzy systems by incremental regularization
-
Lisbon, Portugal
-
N. Rosemann, W. Brockmann, B. Neumann, Enforcing local properties in online learning first order TS-fuzzy systems by incremental regularization, in: Proceedings of IFSA-EUSFLAT 2009, Lisbon, Portugal, 2009, pp. 466-471.
-
(2009)
Proceedings of IFSA-EUSFLAT 2009
, pp. 466-471
-
-
Rosemann, N.1
Brockmann, W.2
Neumann, B.3
-
98
-
-
79951897393
-
Stability analysis for an on-line evolving neuro-fuzzy recurrent network
-
P. Angelov, D. Filev, N. Kasabov, John Wiley & Sons New York
-
J.J. Rubio Stability analysis for an on-line evolving neuro-fuzzy recurrent network P. Angelov, D. Filev, N. Kasabov, Evolving Intelligent Systems: Methodology and Applications 2010 John Wiley & Sons New York 173 199
-
(2010)
Evolving Intelligent Systems: Methodology and Applications
, pp. 173-199
-
-
Rubio, J.J.1
-
99
-
-
0014534297
-
A new approach to clustering
-
E.H. Ruspini A new approach to clustering Information and Control 15 1 1969 22 32
-
(1969)
Information and Control
, vol.15
, Issue.1
, pp. 22-32
-
-
Ruspini, E.H.1
-
102
-
-
34250751201
-
Simplification and reduction of fuzzy rules
-
J. Casillas, O. Cordón, F. Herrera, L. Magdalena, Springer Berlin
-
M. Setnes Simplification and reduction of fuzzy rules J. Casillas, O. Cordón, F. Herrera, L. Magdalena, Interpretability Issues in Fuzzy Modeling 2003 Springer Berlin 278 302
-
(2003)
Interpretability Issues in Fuzzy Modeling
, pp. 278-302
-
-
Setnes, M.1
-
103
-
-
0032094918
-
Similarity measures in fuzzy rule base simplification
-
M. Setnes, R. Babuska, U. Kaymak, and H.R.v.N. Lemke Similarity measures in fuzzy rule base simplification IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics 28 3 1998 376 386
-
(1998)
IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics
, vol.28
, Issue.3
, pp. 376-386
-
-
Setnes, M.1
Babuska, R.2
Kaymak, U.3
Lemke, H.R.V.N.4
-
104
-
-
84868460926
-
Evolving fuzzy patterns trees for binary classification on data streams
-
A. Shaker, R. Senge, and E. Hüllermeier Evolving fuzzy patterns trees for binary classification on data streams Information Sciences 220 2012 34 45
-
(2012)
Information Sciences
, vol.220
, pp. 34-45
-
-
Shaker, A.1
Senge, R.2
Hüllermeier, E.3
-
105
-
-
79952317714
-
Recursive Gath-Geva clustering as a basis for evolving neuro-fuzzy modeling
-
H. Soleimani, K. Lucas, and B.N. Araabi Recursive Gath-Geva clustering as a basis for evolving neuro-fuzzy modeling Evolving Systems 1 1 2010 59 71
-
(2010)
Evolving Systems
, vol.1
, Issue.1
, pp. 59-71
-
-
Soleimani, H.1
Lucas, K.2
Araabi, B.N.3
-
107
-
-
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 Transactions on Systems, Man and Cybernetics 15 1 1985 116 132
-
(1985)
IEEE Transactions on Systems, Man and Cybernetics
, vol.15
, Issue.1
, pp. 116-132
-
-
Takagi, T.1
Sugeno, M.2
-
109
-
-
84868513351
-
Et2fis: An evolving type-2 neural fuzzy inference system
-
S.W. Tung, C. Quek, and C. Guan et2fis: An evolving type-2 neural fuzzy inference system Information Sciences 220 2013 124 148
-
(2013)
Information Sciences
, vol.220
, pp. 124-148
-
-
Tung, S.W.1
Quek, C.2
Guan, C.3
-
111
-
-
58149502268
-
An evolving fuzzy predictor for industrial applications
-
W. Wang, and J. Vrbanek An evolving fuzzy predictor for industrial applications IEEE Transactions on Fuzzy Systems 16 6 2008 1439 1449
-
(2008)
IEEE Transactions on Fuzzy Systems
, vol.16
, Issue.6
, pp. 1439-1449
-
-
Wang, W.1
Vrbanek, J.2
-
112
-
-
84870267223
-
The generalization of 'students' problem when several different population variances are involved
-
B.L. Welch The generalization of 'students' problem when several different population variances are involved Biometrika 34 1-2 1947 28 35
-
(1947)
Biometrika
, vol.34
, Issue.12
, pp. 28-35
-
-
Welch, B.L.1
-
113
-
-
84867623517
-
Medical decision support systems
-
Medical Data Analysis Springer Berlin/Heidelberg
-
T. Wetter Medical decision support systems Lecture Notes in Computer Science Medical Data Analysis 2000 Springer Berlin/Heidelberg 458 466
-
(2000)
Lecture Notes in Computer Science
, pp. 458-466
-
-
Wetter, T.1
-
115
-
-
0032205732
-
Improving the interpretability of TSK fuzzy models by combining global learning and local learning
-
J. Yen, L. Wang, and C.W. Gillespie Improving the interpretability of TSK fuzzy models by combining global learning and local learning IEEE Transactions on Fuzzy Systems 6 4 1998 530 537
-
(1998)
IEEE Transactions on Fuzzy Systems
, vol.6
, Issue.4
, pp. 530-537
-
-
Yen, J.1
Wang, L.2
Gillespie, C.W.3
-
116
-
-
52949088628
-
Low-level interpretability and high-level interpretability: A unified view of data-driven interpretable fuzzy systems modelling
-
S.M. Zhou, and J.Q. Gan Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy systems modelling Fuzzy Sets and Systems 159 23 2008 3091 3131
-
(2008)
Fuzzy Sets and Systems
, vol.159
, Issue.23
, pp. 3091-3131
-
-
Zhou, S.M.1
Gan, J.Q.2
|