-
1
-
-
84879322256
-
A dynamic particle filter-support vector regression method for reliability prediction
-
Z. Wei, T. Tao, and D. ZhuoShu A dynamic particle filter-support vector regression method for reliability prediction Reliab. Eng. Syst. Saf. 119 2013 109 116
-
(2013)
Reliab. Eng. Syst. Saf.
, vol.119
, pp. 109-116
-
-
Wei, Z.1
Tao, T.2
Zhuoshu, D.3
-
2
-
-
84861874826
-
Overview of reliability testing
-
E.A. Elsayed Overview of reliability testing IEEE Trans. Reliab. 61 2012 282 291
-
(2012)
IEEE Trans. Reliab.
, vol.61
, pp. 282-291
-
-
Elsayed, E.A.1
-
3
-
-
0041857534
-
Non-homogeneous autoregressive processes for tracking (software) reliability growth, and their Bayesian analysis
-
N.D. Singpurwalla, and R. Soyer Non-homogeneous autoregressive processes for tracking (software) reliability growth, and their Bayesian analysis J. R. Stat. Soc. Ser. B (Methodol.) 1992 145 156
-
(1992)
J. R. Stat. Soc. Ser. B (Methodol.)
, pp. 145-156
-
-
Singpurwalla, N.D.1
Soyer, R.2
-
4
-
-
84868624158
-
An empirical study of software reliability prediction using machine learning techniques
-
P. Kumar, and Y. Singh An empirical study of software reliability prediction using machine learning techniques Int. J. Syst. Assur. Eng. Manage. 3 2012 194 208
-
(2012)
Int. J. Syst. Assur. Eng. Manage.
, vol.3
, pp. 194-208
-
-
Kumar, P.1
Singh, Y.2
-
5
-
-
0033079441
-
Evaluation of power systems reliability by an artificial neural network
-
N. Amjady, and M. Ehsan Evaluation of power systems reliability by an artificial neural network IEEE Trans. Power Syst. 14 1999 287 292
-
(1999)
IEEE Trans. Power Syst.
, vol.14
, pp. 287-292
-
-
Amjady, N.1
Ehsan, M.2
-
6
-
-
0037061422
-
A comparative study of neural network and Box-Jenkins ARIMA modeling in time series prediction
-
S. Ho, M. Xie, and T. Goh A comparative study of neural network and Box-Jenkins ARIMA modeling in time series prediction Comp. Ind. Eng. 42 2002 371 375
-
(2002)
Comp. Ind. Eng.
, vol.42
, pp. 371-375
-
-
Ho, S.1
Xie, M.2
Goh, T.3
-
8
-
-
67349288151
-
Fault diagnosis of power transformer based on support vector machine with genetic algorithm
-
S.-W. Fei, and X.-B. Zhang Fault diagnosis of power transformer based on support vector machine with genetic algorithm Expert Syst. Appl. 36 2009 11352 11357
-
(2009)
Expert Syst. Appl.
, vol.36
, pp. 11352-11357
-
-
Fei, S.-W.1
Zhang, X.-B.2
-
10
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
C.C. Burges A tutorial on support vector machines for pattern recognition Data Min. Knowl. Discov. 2 1998 121 167
-
(1998)
Data Min. Knowl. Discov.
, vol.2
, pp. 121-167
-
-
Burges, C.C.1
-
11
-
-
4043137356
-
A tutorial on support vector regression
-
A. Smola, and B. Schölkopf A tutorial on support vector regression Statist. Comput. 14 2004 199 222
-
(2004)
Statist. Comput.
, vol.14
, pp. 199-222
-
-
Smola, A.1
Schölkopf, B.2
-
12
-
-
80855131458
-
Application of support vector regression to genome-assisted prediction of quantitative traits
-
N. Long, D. Gianola, and G.J.M. Rosa Application of support vector regression to genome-assisted prediction of quantitative traits Theor. Appl. Genet. 123 2011 1065 1074
-
(2011)
Theor. Appl. Genet.
, vol.123
, pp. 1065-1074
-
-
Long, N.1
Gianola, D.2
Rosa, G.J.M.3
-
13
-
-
41049086704
-
A novel approach for prediction of tacrolimus blood concentration in liver transplantation patients in the intensive care unit through support vector regression
-
S. Van Looy, T. Verplancke, and D. Benoit A novel approach for prediction of tacrolimus blood concentration in liver transplantation patients in the intensive care unit through support vector regression Crit. Care 2007 11
-
(2007)
Crit. Care
, pp. 11
-
-
Van Looy, S.1
Verplancke, T.2
Benoit, D.3
-
14
-
-
84890101768
-
Reliability prediction through guided tail modeling using support vector machines Proceedings of the Institution of Mechanical Engineers
-
December
-
E. Acar Reliability prediction through guided tail modeling using support vector machines Proceedings of the Institution of Mechanical Engineers Part C: Journal of Mechanical Engineering 227 2013 2780 2794 December
-
(2013)
Part C: Journal of Mechanical Engineering
, vol.227
, pp. 2780-2794
-
-
Acar, E.1
-
15
-
-
33644676683
-
Predicting engine reliability by support vector machines
-
W.C. Hong, and P.F. Pai Predicting engine reliability by support vector machines Int. J. Adv. Manuf. Technol. 28 2006 154 161
-
(2006)
Int. J. Adv. Manuf. Technol.
, vol.28
, pp. 154-161
-
-
Hong, W.C.1
Pai, P.F.2
-
16
-
-
84879324237
-
Recurrent support vector machines in reliability prediction
-
L. Wang, K. Chen, Y. Ong, Springer Berlin, Heidelberg
-
W.C. Hong, P.F. Pai, and C.T. Chen Recurrent support vector machines in reliability prediction L. Wang, K. Chen, Y. Ong, Advances in Natural Computation 2005 Springer Berlin, Heidelberg 407
-
(2005)
Advances in Natural Computation
, pp. 407
-
-
Hong, W.C.1
Pai, P.F.2
Chen, C.T.3
-
17
-
-
80052449651
-
Failure and reliability prediction by support vector machines regression of time series data
-
M.C. Moura, E. Zio, and I. Didier Lins Failure and reliability prediction by support vector machines regression of time series data Reliab. Eng. Syst. Saf. 96 2011 1527 1534
-
(2011)
Reliab. Eng. Syst. Saf.
, vol.96
, pp. 1527-1534
-
-
Moura, M.C.1
Zio, E.2
Didier Lins, I.3
-
18
-
-
84879305799
-
Application research of support vector machines in condition trend prediction of mechanical equipment
-
J. Yang, and Y. Zhang Application research of support vector machines in condition trend prediction of mechanical equipment Adv. Neural Netw. - ISNN 2005 971 2005
-
(2005)
Adv. Neural Netw. - ISNN
, pp. 971-2005
-
-
Yang, J.1
Zhang, Y.2
-
21
-
-
80255133268
-
A new approach for time series prediction using ensembles of ANFIS models
-
P. Melin, J. Soto, and O. Castillo A new approach for time series prediction using ensembles of ANFIS models Expert Syst. Appl. 39 2012 3494 3506
-
(2012)
Expert Syst. Appl.
, vol.39
, pp. 3494-3506
-
-
Melin, P.1
Soto, J.2
Castillo, O.3
-
23
-
-
0346250790
-
Practical selection of SVM parameters and noise estimation for SVM regression
-
V. Cherkassky, and Y. Ma Practical selection of SVM parameters and noise estimation for SVM regression Neural Netw. 17 2004 113 126
-
(2004)
Neural Netw.
, vol.17
, pp. 113-126
-
-
Cherkassky, V.1
Ma, Y.2
-
26
-
-
51249185617
-
The ellipsoid method and its consequences in combinatorial optimization
-
M. Grötschel, L. Lovász, and A. Schrijver The ellipsoid method and its consequences in combinatorial optimization Combinatorica 1 1981 169 197
-
(1981)
Combinatorica
, vol.1
, pp. 169-197
-
-
Grötschel, M.1
Lovász, L.2
Schrijver, A.3
-
27
-
-
0032117046
-
Implementation of the simultaneous perturbation algorithm for stochastic optimization
-
J.C. Spall Implementation of the simultaneous perturbation algorithm for stochastic optimization IEEE Trans. Aerosp. Electron. Syst. 34 1998 817 823
-
(1998)
IEEE Trans. Aerosp. Electron. Syst.
, vol.34
, pp. 817-823
-
-
Spall, J.C.1
-
28
-
-
33646130599
-
Software reliability forecasting by support vector machines with simulated annealing algorithms
-
P.F. Pai, and W.C. Hong Software reliability forecasting by support vector machines with simulated annealing algorithms J. Syst. Softw. 79 2006 747 755
-
(2006)
J. Syst. Softw.
, vol.79
, pp. 747-755
-
-
Pai, P.F.1
Hong, W.C.2
-
29
-
-
33845633182
-
Forecasting systems reliability based on support vector regression with genetic algorithms
-
K.Y. Chen Forecasting systems reliability based on support vector regression with genetic algorithms Reliab. Eng. Syst. Saf. 92 2007 423 432
-
(2007)
Reliab. Eng. Syst. Saf.
, vol.92
, pp. 423-432
-
-
Chen, K.Y.1
-
30
-
-
78751627947
-
SVR with hybrid chaotic genetic algorithms for tourism demand forecasting
-
W.-C. Hong, Y. Dong, and L.-Y. Chen SVR with hybrid chaotic genetic algorithms for tourism demand forecasting Appl. Soft Comput. 11 2011 1881 1890
-
(2011)
Appl. Soft Comput.
, vol.11
, pp. 1881-1890
-
-
Hong, W.-C.1
Dong, Y.2
Chen, L.-Y.3
-
31
-
-
48749109333
-
Particle swarm optimization for parameter determination and feature selection of support vector machines
-
S.W. Lin, K.C. Ying, and S.C. Chen Particle swarm optimization for parameter determination and feature selection of support vector machines Expert Syst. Appl. 35 2008 1817 1824
-
(2008)
Expert Syst. Appl.
, vol.35
, pp. 1817-1824
-
-
Lin, S.W.1
Ying, K.C.2
Chen, S.C.3
-
32
-
-
84857637199
-
A particle swarm-optimized support vector machine for reliability prediction
-
I.D. Lins, M.C. Moura, and E. Zio A particle swarm-optimized support vector machine for reliability prediction Qual. Reliab. Eng. Int. 28 2012 141 158
-
(2012)
Qual. Reliab. Eng. Int.
, vol.28
, pp. 141-158
-
-
Lins, I.D.1
Moura, M.C.2
Zio, E.3
-
33
-
-
84874649268
-
Optimal design of fuzzy classification systems using PSO with dynamic parameter adaptation through fuzzy logic
-
P. Melin, F. Olivas, and O. Castillo Optimal design of fuzzy classification systems using PSO with dynamic parameter adaptation through fuzzy logic Expert Syst. Appl. 40 2013 3196 3206
-
(2013)
Expert Syst. Appl.
, vol.40
, pp. 3196-3206
-
-
Melin, P.1
Olivas, F.2
Castillo, O.3
-
35
-
-
0002338687
-
A genetic algorithm tutorial
-
D. Whitley A genetic algorithm tutorial Stat. Comput. 4 1994 65 85
-
(1994)
Stat. Comput.
, vol.4
, pp. 65-85
-
-
Whitley, D.1
-
38
-
-
84958987386
-
Linear dependency between ε and the input noise in ε-support vector regression
-
G. Dorffner, H. Bischof, K. Hornik, Springer Berlin, Heidelberg
-
J. Kwok Linear dependency between ε and the input noise in ε-support vector regression G. Dorffner, H. Bischof, K. Hornik, Artificial Neural Networks - ICANN 2001 2001 Springer Berlin, Heidelberg 405 410
-
(2001)
Artificial Neural Networks - ICANN 2001
, pp. 405-410
-
-
Kwok, J.1
-
40
-
-
15944420505
-
Application of neural networks in forecasting engine systems reliability
-
K. Xu, M. Xie, and L.C. Tang Application of neural networks in forecasting engine systems reliability Appl. Soft Comput. 2 2003 255 268
-
(2003)
Appl. Soft Comput.
, vol.2
, pp. 255-268
-
-
Xu, K.1
Xie, M.2
Tang, L.C.3
-
41
-
-
71249096917
-
Evolutionary method combining particle swarm optimization and genetic algorithms using fuzzy logic for decision making
-
20-24 August
-
F. Valdez, P. Melin, and O. Castillo Evolutionary method combining particle swarm optimization and genetic algorithms using fuzzy logic for decision making FUZZ-IEEE 2009 IEEE International Conference on Fuzzy Systems 20-24 August 2009 2114 2119
-
(2009)
FUZZ-IEEE 2009 IEEE International Conference on Fuzzy Systems
, pp. 2114-2119
-
-
Valdez, F.1
Melin, P.2
Castillo, O.3
|