-
1
-
-
84865200878
-
Determining model accuracy requirements for automotive engine coldstart hydrocarbon emissions control
-
Azad N.L., Sanketi P.R., Hedrick J.K. Determining model accuracy requirements for automotive engine coldstart hydrocarbon emissions control. ASME J. Dyn. Syst. Meas. Control 2012, 134:51002-51005.
-
(2012)
ASME J. Dyn. Syst. Meas. Control
, vol.134
, pp. 51002-51005
-
-
Azad, N.L.1
Sanketi, P.R.2
Hedrick, J.K.3
-
2
-
-
0016029778
-
The relationship between variable selection and data augmentation and a method for prediction
-
David M.A. The relationship between variable selection and data augmentation and a method for prediction. Technometrics 1974, 16(1):125-127.
-
(1974)
Technometrics
, vol.16
, Issue.1
, pp. 125-127
-
-
David, M.A.1
-
3
-
-
67650463106
-
Regularized extreme learning machine
-
IEEE Symposium on Computational Intelligence and Data Mining, CIDM '09, March 30th-April 2nd 2009, pp. 289-295.
-
W. Deng, Q. Zheng, L. Chen, Regularized extreme learning machine, in: IEEE Symposium on Computational Intelligence and Data Mining, CIDM '09, March 30th-April 2nd 2009, pp. 289-295.
-
-
-
Deng, W.1
Zheng, Q.2
Chen, L.3
-
4
-
-
3242708140
-
Least angle regression
-
Efron B., Hastie T., Johnstone I., Tibshirani R. Least angle regression. Ann. Stat. 2004, 32:407-499.
-
(2004)
Ann. Stat.
, vol.32
, pp. 407-499
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
-
5
-
-
84888384139
-
Modeling a shape memory alloy actuators using an evolvable recursive black-box and hybrid heuristic algorithms inspired based on the annual migration of salmons in nature
-
doi:10.1016/j.asoc.2013.03.019.
-
A. Fathi, A., Mozaffari, Modeling a shape memory alloy actuators using an evolvable recursive black-box and hybrid heuristic algorithms inspired based on the annual migration of salmons in nature, Appl. Soft Comput. doi:10.1016/j.asoc.2013.03.019.
-
Appl. Soft Comput
-
-
Fathi, A.1
Mozaffari, A.2
-
6
-
-
67650492344
-
Recurrent neural network training for energy management of a mild hybrid electric vehicle with an ultra-capacitor
-
IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems, Nashville
-
L. Feldkamp, M. Abou-Nasr, I.V. Kolmanovsky, Recurrent neural network training for energy management of a mild hybrid electric vehicle with an ultra-capacitor, in: IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems, Nashville, 2009, 29-36.
-
(2009)
, pp. 29-36
-
-
Feldkamp, L.1
Abou-Nasr, M.2
Kolmanovsky, I.V.3
-
7
-
-
34548500577
-
Application areas of AIS: the past, the present and the future
-
Hart E., Timmis J. Application areas of AIS: the past, the present and the future. Appl. Soft Comput. 2008, 8(1):191-201.
-
(2008)
Appl. Soft Comput.
, vol.8
, Issue.1
, pp. 191-201
-
-
Hart, E.1
Timmis, J.2
-
8
-
-
85072447124
-
Cycle-by-cycle analysis of HC emissions during cold start of gasoline engines, SAE Technical Paper
-
952402
-
N.A. Henein, M.K. Tagomori, M.K. Yassine, T.W. Asmus, C.P. Thomas, P.G. Hartman, Cycle-by-cycle analysis of HC emissions during cold start of gasoline engines, SAE Technical Paper (1995) No. 952402.
-
(1995)
-
-
Henein, N.A.1
Tagomori, M.K.2
Yassine, M.K.3
Asmus, T.W.4
Thomas, C.P.5
Hartman, P.G.6
-
9
-
-
33745903481
-
Extreme learning machine: theory and applications
-
Huang G.B., Zhu Q.Y., Siew C.K. Extreme learning machine: theory and applications. Neurocomputing 2006, 70(1-3):489-501.
-
(2006)
Neurocomputing
, vol.70
, Issue.1-3
, pp. 489-501
-
-
Huang, G.B.1
Zhu, Q.Y.2
Siew, C.K.3
-
10
-
-
56549090053
-
Enhanced random search based incremental extreme learning machine
-
Huang G.B., Chen L. Enhanced random search based incremental extreme learning machine. Neurocomputing 2008, 71(16-18):3460-3468.
-
(2008)
Neurocomputing
, vol.71
, Issue.16-18
, pp. 3460-3468
-
-
Huang, G.B.1
Chen, L.2
-
12
-
-
84880077016
-
Extreme learning machine: a robust modeling technique? Yes!
-
Advances in Computational Intelligence, Lecture Notes in Computer Sciences
-
A. Lendasse, A. Akusok, O. Simula, F. Corona, M.V. Heeswijk, E. Eirola, Y. Miche, Extreme learning machine: a robust modeling technique? Yes!, Advances in Computational Intelligence, Lecture Notes in Computer Sciences, 7902, 2013, pp. 17-35.
-
(2013)
, vol.7902
, pp. 17-35
-
-
Lendasse, A.1
Akusok, A.2
Simula, O.3
Corona, F.4
Heeswijk, M.V.5
Eirola, E.6
Miche, Y.7
-
13
-
-
40649086418
-
Incorporating prior knowledge in support vector machines for classification: a review
-
Lauer F., Bloch G. Incorporating prior knowledge in support vector machines for classification: a review. Neurocomputing 2008, 71(7-9):1578-1594.
-
(2008)
Neurocomputing
, vol.71
, Issue.7-9
, pp. 1578-1594
-
-
Lauer, F.1
Bloch, G.2
-
14
-
-
0034315099
-
Evolutionary ensembles with negative correlation learning
-
Liu Y., Yao X., Higuchi T. Evolutionary ensembles with negative correlation learning. IEEE Trans. Evol. Comput. 2000, 4(4):380-387.
-
(2000)
IEEE Trans. Evol. Comput.
, vol.4
, Issue.4
, pp. 380-387
-
-
Liu, Y.1
Yao, X.2
Higuchi, T.3
-
15
-
-
84865706274
-
Regularized extreme learning machine for regression problems
-
Martinez-Martinez J.M., Escandell-Montero P., Soria-Olivas E., Martin-Guerrero J.D., Magdalena-Benedito R., Gomez-Sanchis J. Regularized extreme learning machine for regression problems. Neurocomputing 2011, 74:3716-3721.
-
(2011)
Neurocomputing
, vol.74
, pp. 3716-3721
-
-
Martinez-Martinez, J.M.1
Escandell-Montero, P.2
Soria-Olivas, E.3
Martin-Guerrero, J.D.4
Magdalena-Benedito, R.5
Gomez-Sanchis, J.6
-
16
-
-
73949154686
-
A. lendasse, OP-ELM: optimally pruned extreme learning machine
-
Miche Y., Sorjamaa A., Bas P., Simula O., Jutten C. A. lendasse, OP-ELM: optimally pruned extreme learning machine. IEEE Trans. Neural Netw. 2010, 21(1):158-162.
-
(2010)
IEEE Trans. Neural Netw.
, vol.21
, Issue.1
, pp. 158-162
-
-
Miche, Y.1
Sorjamaa, A.2
Bas, P.3
Simula, O.4
Jutten, C.5
-
17
-
-
80051671932
-
TROP-ELM: a double-regularized ELM using LARS and Tikhonov regularization
-
Miche Y., Heeswijk M., Bas P., Simula O., Lendasse A. TROP-ELM: a double-regularized ELM using LARS and Tikhonov regularization. Neurocomputing 2011, 74(16):2413-2421.
-
(2011)
Neurocomputing
, vol.74
, Issue.16
, pp. 2413-2421
-
-
Miche, Y.1
Heeswijk, M.2
Bas, P.3
Simula, O.4
Lendasse, A.5
-
18
-
-
84880055177
-
Ensemble modeling with a constrained linear system of leave-one-out outputs
-
European Symposium on Artificial Neural Networks- Computational Intelligence and Machine Learning, Belgium, 28-30 April
-
Y. Miche, E. Eirola, P. Bas, O. Simula, C. Jutten, A. Lendasse, M. Verleysen, Ensemble modeling with a constrained linear system of leave-one-out outputs, in: European Symposium on Artificial Neural Networks- Computational Intelligence and Machine Learning, Belgium, 28-30 April, pp. 19-24.
-
-
-
Miche, Y.1
Eirola, E.2
Bas, P.3
Simula, O.4
Jutten, C.5
Lendasse, A.6
Verleysen, M.7
-
19
-
-
84867845529
-
Identifying the behavior of laser solid freeform fabrication system using aggregated neural network and the great salmon run optimization algorithm
-
Mozaffari A., Fathi A. Identifying the behavior of laser solid freeform fabrication system using aggregated neural network and the great salmon run optimization algorithm. Int. J. Bio-inspired Comput. 2012, 4(5):330-343.
-
(2012)
Int. J. Bio-inspired Comput.
, vol.4
, Issue.5
, pp. 330-343
-
-
Mozaffari, A.1
Fathi, A.2
-
20
-
-
33645706098
-
Automotive engine hybrid modeling and control for reduction of hydrocarbon emissions
-
Sanketi P.R., Zavala J.C., Hedrick J.K. Automotive engine hybrid modeling and control for reduction of hydrocarbon emissions. Int. J. Control 2006, 79(5):449-464.
-
(2006)
Int. J. Control
, vol.79
, Issue.5
, pp. 449-464
-
-
Sanketi, P.R.1
Zavala, J.C.2
Hedrick, J.K.3
-
21
-
-
84865215565
-
An optimal controller formulation via convex relaxation for automotive coldstart hydrocarbon reduction
-
Ninth International Symposium on Advanced Vehicle Control
-
P.R. Sanketi, N.L. Azad, C. Zavala, J.K. Hedrick, An optimal controller formulation via convex relaxation for automotive coldstart hydrocarbon reduction, in: Ninth International Symposium on Advanced Vehicle Control, 2008, pp. 312-317.
-
(2008)
, pp. 312-317
-
-
Sanketi, P.R.1
Azad, N.L.2
Zavala, C.3
Hedrick, J.K.4
-
22
-
-
84894105155
-
Coldstart modeling and optimal control design for automotive SI engines (Ph.D. Thesis), University of California, Berkeley
-
P.R. Sanketi, Coldstart modeling and optimal control design for automotive SI engines (Ph.D. Thesis), University of California, Berkeley, 2009.
-
(2009)
-
-
Sanketi, P.R.1
-
23
-
-
77952707390
-
Least squares optimization with L1-norm regularization
-
CS542B Project Report, December 2005.
-
M. Schmidt, Least squares optimization with L1-norm regularization, CS542B Project Report, December 2005.
-
-
-
Schmidt, M.1
-
24
-
-
0000120766
-
Estimating the dimension of a model
-
Schwarz G. Estimating the dimension of a model. Ann Stat. 1978, 6(2):461-464.
-
(1978)
Ann Stat.
, vol.6
, Issue.2
, pp. 461-464
-
-
Schwarz, G.1
-
25
-
-
33646231022
-
Multireponse sparse regression with application to multidimensional scaling
-
International Conference on Artificial Neural Networks (ICANN), Lecture Notes in Computer Science, Warsaw, Poland, 11-15 September
-
T. Simila, J. Tikka, Multireponse sparse regression with application to multidimensional scaling, in: International Conference on Artificial Neural Networks (ICANN), Lecture Notes in Computer Science, vol. 3697, Warsaw, Poland, 11-15 September 2005, pp. 97-102.
-
(2005)
, vol.3697
, pp. 97-102
-
-
Simila, T.1
Tikka, J.2
-
26
-
-
78149452320
-
Selective negative correlation learning approach to incremental learning
-
Tang K., Lin M., Minku F.L., Yao X. Selective negative correlation learning approach to incremental learning. Neurocomputing 2009, 72:2796-2805.
-
(2009)
Neurocomputing
, vol.72
, pp. 2796-2805
-
-
Tang, K.1
Lin, M.2
Minku, F.L.3
Yao, X.4
-
27
-
-
85194972808
-
Regression shrinkage and selection via the lasso
-
Tibshirani R. Regression shrinkage and selection via the lasso. J. R. Stat. Soc. Ser. B 1994, 58:267-288.
-
(1994)
J. R. Stat. Soc. Ser. B
, vol.58
, pp. 267-288
-
-
Tibshirani, R.1
-
28
-
-
38649118854
-
Evolving artificial neural networks using an improved PSO and DPSO
-
Yu J., Wang S., Xi L. Evolving artificial neural networks using an improved PSO and DPSO. Neurocomputing 2008, 71(4-6):1054-1060.
-
(2008)
Neurocomputing
, vol.71
, Issue.4-6
, pp. 1054-1060
-
-
Yu, J.1
Wang, S.2
Xi, L.3
-
29
-
-
84894069911
-
Nonlinear constrained component optimization for the powertrain configuration of a plug-in hybrid electric vehicle powertrain
-
Yildiz E.T., Farooqi Q., Anwar S., Chen Y., Izadian A. Nonlinear constrained component optimization for the powertrain configuration of a plug-in hybrid electric vehicle powertrain. J. Autom. Saf. Energy 2012, 3(1):64-70.
-
(2012)
J. Autom. Saf. Energy
, vol.3
, Issue.1
, pp. 64-70
-
-
Yildiz, E.T.1
Farooqi, Q.2
Anwar, S.3
Chen, Y.4
Izadian, A.5
-
30
-
-
78049316273
-
Ensemble of niching algorithms
-
Yu E.L., Suganthan P.N. Ensemble of niching algorithms. Inf. Sci. 2010, 180:2815-2833.
-
(2010)
Inf. Sci.
, vol.180
, pp. 2815-2833
-
-
Yu, E.L.1
Suganthan, P.N.2
-
31
-
-
42749097020
-
Is there a need for fuzzy logic
-
Zadeh L.A. Is there a need for fuzzy logic. Inf. Sci. 2008, 178(13):2751-2779.
-
(2008)
Inf. Sci.
, vol.178
, Issue.13
, pp. 2751-2779
-
-
Zadeh, L.A.1
-
32
-
-
84865201343
-
Engine modeling and control for minimization of hydrocarbon coldstart emissions in SI engine
-
(Ph.D. thesis), University of California, Berkeley
-
J.C. Zavala, Engine modeling and control for minimization of hydrocarbon coldstart emissions in SI engine (Ph.D. thesis), University of California, Berkeley, 2007.
-
(2007)
-
-
Zavala, J.C.1
-
33
-
-
16244401458
-
Regularization and variable selection via the elastic net
-
Zou H., Hastie T. Regularization and variable selection via the elastic net. J. R. Stat. Soc. Ser. B 2005, 67(2):301-320.
-
(2005)
J. R. Stat. Soc. Ser. B
, vol.67
, Issue.2
, pp. 301-320
-
-
Zou, H.1
Hastie, T.2
|