-
1
-
-
80052440040
-
Failure and reliability predictions by infinite impulse response locally recurrent neural networks
-
Venice, Italy
-
Zio E, Broggi M, Golea L, Pedroni N,. Failure and reliability predictions by infinite impulse response locally recurrent neural networks. ECCOMAS-Fifth European Congress on Computational Methods in Applied Science and Engineering, Venice, Italy, 2008.
-
(2008)
ECCOMAS-Fifth European Congress on Computational Methods in Applied Science and Engineering
-
-
Zio, E.1
Broggi, M.2
Golea, L.3
Pedroni, N.4
-
2
-
-
78049382078
-
Multiobjective optimization of redundancy allocation problems in systems with imperfect repairs via ant colony and discrete event simulation
-
Valencia, Spain
-
Lins ID, Droguett EL,. Multiobjective optimization of redundancy allocation problems in systems with imperfect repairs via ant colony and discrete event simulation. European Safety & Reliability Conference (ESREL), Valencia, Spain, 2008.
-
(2008)
European Safety & Reliability Conference (ESREL)
-
-
Lins, I.D.1
Droguett, E.L.2
-
3
-
-
67650503098
-
Multiobjective optimization of availability and cost in repairable systems design via genetic algorithms and discrete event simulation
-
DOI: 10.1590/S0101-74382009000100003
-
Lins ID, Droguett EAL,. Multiobjective optimization of availability and cost in repairable systems design via genetic algorithms and discrete event simulation. Pesquisa Operacional 2009; 29: 43-66. DOI: 10.1590/S0101- 74382009000100003.
-
(2009)
Pesquisa Operacional
, vol.29
, pp. 43-66
-
-
Lins, I.D.1
Droguett, E.A.L.2
-
4
-
-
78049385187
-
Redundancy allocation problems considering systems with imperfect repairs using multi-objective genetic algorithms and discrete event simulation
-
DOI: 10.1016/j.simpat.2010.07.010
-
Lins ID, Droguett EL,. Redundancy allocation problems considering systems with imperfect repairs using multi-objective genetic algorithms and discrete event simulation. Simulation Modelling Practice and Theory 2011; 19: 362-381. DOI: 10.1016/j.simpat.2010.07.010.
-
(2011)
Simulation Modelling Practice and Theory
, vol.19
, pp. 362-381
-
-
Lins, I.D.1
Droguett, E.L.2
-
5
-
-
54149084527
-
Mathematical formulation and numerical treatment based on transition frequency densities and quadrature methods for non-homogeneous semi-Markov processes
-
DOI: 10.1016/j.ress.2008.03.032
-
Moura MC, Droguett EL,. Mathematical formulation and numerical treatment based on transition frequency densities and quadrature methods for non-homogeneous semi-Markov processes. Reliability Engineering and System Safety 2009; 94: 342-349. DOI: 10.1016/j.ress.2008.03.032.
-
(2009)
Reliability Engineering and System Safety
, vol.94
, pp. 342-349
-
-
Moura, M.C.1
Droguett, E.L.2
-
6
-
-
0001301007
-
Multivariable trend analysis using neural networks for intelligent diagnostics of rotating machinery
-
Zhang S, Ganesan R,. Multivariable trend analysis using neural networks for intelligent diagnostics of rotating machinery. Journal of Engineering for Gas Turbines and Power 1997; 119: 378-384. DOI: 10.1115/1.2815585. (Pubitemid 127573082)
-
(1997)
Journal of Engineering for Gas Turbines and Power
, vol.119
, Issue.2
, pp. 378-384
-
-
Zhang, S.1
Ganesan, R.2
-
7
-
-
0034813955
-
Intelligent predictive decision support system for condition-based maintenance
-
DOI 10.1007/s001700170173
-
Yam RCM, Tse PW, Li L, Tu P,. Intelligent predictive decision support system for condition-based maintenance. International Journal of Advanced Manufacturing Technology 2001; 17: 383-391. DOI: 10.1007/s001700170173. (Pubitemid 32914802)
-
(2001)
International Journal of Advanced Manufacturing Technology
, vol.17
, Issue.5
, pp. 383-391
-
-
Yam, R.C.M.1
Tse, P.W.2
Li, L.3
Tu, P.4
-
8
-
-
2442503629
-
Prognosis of machine health condition using neuro-fuzzy systems
-
DOI: 10.1016/S0888-3270(03)00079-7
-
Wang WQ, Golnaraghi MF, Ismail F,. Prognosis of machine health condition using neuro-fuzzy systems. Mechanical Systems and Signal Processing 2004; 18: 813-831. DOI: 10.1016/S0888-3270(03)00079-7.
-
(2004)
Mechanical Systems and Signal Processing
, vol.18
, pp. 813-831
-
-
Wang, W.Q.1
Golnaraghi, M.F.2
Ismail, F.3
-
9
-
-
1542648584
-
A neuro-fuzzy approach for estimating mean residual life in condition-based maintenance systems
-
DOI: 10.1504/IJMPT.2004.003920
-
Chinnam RB, Baruah P,. A neuro-fuzzy approach for estimating mean residual life in condition-based maintenance systems. International Journal of Materials and Product Technology 2004; 20: 166-179. DOI: 10.1504/IJMPT.2004. 003920.
-
(2004)
International Journal of Materials and Product Technology
, vol.20
, pp. 166-179
-
-
Chinnam, R.B.1
Baruah, P.2
-
10
-
-
33644754758
-
Application of hybrid learning neural fuzzy systems in reliability prediction
-
DOI 10.1002/qre.696
-
Pai P-F, Lin K-P,. Application of hybrid learning neural fuzzy systems in reliability prediction. Quality and Reliability Enginnering International 2006; 22: 199-211. DOI: 10.1002/qre.696. (Pubitemid 43343104)
-
(2006)
Quality and Reliability Engineering International
, vol.22
, Issue.2
, pp. 199-211
-
-
Pai, P.-F.1
Lin, K.-P.2
-
11
-
-
79951889525
-
Artificial neural network application of modeling failure rate for Boeing 737 tires
-
DOI: 10.1002/qre.1114
-
Al-Garni AZ, Jamal A,. Artificial neural network application of modeling failure rate for Boeing 737 tires. Quality and Reliability Engineering International 2010. DOI: 10.1002/qre.1114.
-
(2010)
Quality and Reliability Engineering International
-
-
Al-Garni, A.Z.1
Jamal, A.2
-
16
-
-
46249099027
-
-
MIT Press: London, England
-
Schölkopf B, Smola AJ,. Learning with Kernels-Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press: London, England, 2002.
-
(2002)
Learning with Kernels-Support Vector Machines, Regularization, Optimization, and beyond
-
-
Schölkopf, B.1
Smola, A.J.2
-
17
-
-
33644676683
-
Predicting engine reliability by support vector machines
-
DOI 10.1007/s00170-004-2340-z
-
Hong W-C, Pai P-F,. Predicting engine reliability by support vector machines. International Journal of Advanced Manufacturing Technology 2006; 28: 154-161. DOI: 10.1007/s00170-004-2340-z. (Pubitemid 43333581)
-
(2006)
International Journal of Advanced Manufacturing Technology
, vol.28
, Issue.1-2
, pp. 154-161
-
-
Hong, W.-C.1
Pai, P.-F.2
-
18
-
-
33644693593
-
System reliability forecasting by support vector machines with genetic algorithms
-
DOI 10.1016/j.mcm.2005.02.008, PII S0895717705004760
-
Pai P-F,. System reliability forecasting by support vector machines with genetic algorithms. Mathematical and Computer Modelling 2006; 43: 262-274. DOI: 10.1016/j.mcm.2005.02.008. (Pubitemid 43330856)
-
(2006)
Mathematical and Computer Modelling
, vol.43
, Issue.3-4
, pp. 262-274
-
-
Pai, P.-F.1
-
19
-
-
66449136989
-
Time series prediction using support vector machines: A survey
-
DOI: 10.1109/MCI.2009.932254
-
Sapankevych NI, Sankar R,. Time series prediction using support vector machines: a survey. IEEE Computational Intelligence Magazine 2009; 4: 24-38. DOI: 10.1109/MCI.2009.932254.
-
(2009)
IEEE Computational Intelligence Magazine
, vol.4
, pp. 24-38
-
-
Sapankevych, N.I.1
Sankar, R.2
-
20
-
-
24944444628
-
Application research of support vector machines in condition trend prediction of mechanical equipment
-
Advances in Neural Networks - ISNN 2005: Second International Symposium on Neural Networks. Proceedings
-
Yang J, Zhang Y,. Application research of support vector machines in condition trend prediction of mechanical equipment. Lecture Notes in Computer Science 2005; 3498: 857-864. DOI: 10.1007/11427469-136. (Pubitemid 41315189)
-
(2005)
Lecture Notes in Computer Science
, vol.3498
, Issue.3
, pp. 857-864
-
-
Yang, J.1
Zhang, Y.2
-
21
-
-
26844490984
-
Recurrent support vector machines in reliability prediction
-
Advances in Natural Computation: First International Conference, ICNC 2005. Proceedings
-
Hong W-C, Pai P-F, Chen C-T, Chang P-T,. Recurrent support vector machines in reliability prediction. Lecture Notes in Computer Science 2005; 3610: 619-629. DOI: 10.1007/11539087. (Pubitemid 41449961)
-
(2005)
Lecture Notes in Computer Science
, vol.3610
, Issue.PART I
, pp. 619-629
-
-
Hong, W.-C.1
Pai, P.-F.2
Chen, C.-T.3
Chang, P.-T.4
-
22
-
-
0036505670
-
A comparison of methods for multiclass support vector machines
-
DOI 10.1109/72.991427, PII S1045922702018052
-
Hsu C-W, Lin C-J,. A comparison of methods for multi-class support vector machines. IEEE Transactions on Neural Networks 2002; 13: 415-425. DOI: 10.1109/72.991427. (Pubitemid 34475042)
-
(2002)
IEEE Transactions on Neural Networks
, vol.13
, Issue.2
, pp. 415-425
-
-
Hsu, C.-W.1
Lin, C.-J.2
-
23
-
-
0034264380
-
Bounds on error expectation for support vector machines
-
DOI: 10.1162/089976600300015042
-
Vapnik VN, Chapelle O,. Bounds on error expectation for support vector machines. Neural Computation 2000; 12: 2013-2036. DOI: 10.1162/ 089976600300015042.
-
(2000)
Neural Computation
, vol.12
, pp. 2013-2036
-
-
Vapnik, V.N.1
Chapelle, O.2
-
24
-
-
0036161011
-
Choosing multiple parameters for support vector machines
-
DOI 10.1023/A:1012450327387
-
Chapelle O, Vapnik VN, Bousquet O, Mukherjee S,. Choosing multiple parameters for support vector machines. Machine Learning 2002; 46: 131-159. DOI: 10.1023/A:1012450327387. (Pubitemid 34129966)
-
(2002)
Machine Learning
, vol.46
, Issue.1-3
, pp. 131-159
-
-
Chapelle, O.1
Vapnik, V.2
Bousquet, O.3
Mukherjee, S.4
-
25
-
-
18544377981
-
Support vector machines with simulated annealing algorithms in electricity load forecasting
-
DOI 10.1016/j.enconman.2005.02.004, PII S0196890405000506
-
Pai P-F, Hong W-C,. Support vector machines with simulated annealing algorithms in electricity load forecasting. Energy Conversion and Management 2005; 46: 2669-2688. DOI: 10.1016/j.enconman.2005.02.004. (Pubitemid 40654933)
-
(2005)
Energy Conversion and Management
, vol.46
, Issue.17
, pp. 2669-2688
-
-
Pai, P.-F.1
Hong, W.-C.2
-
26
-
-
33646130599
-
Software reliability forecasting by support vector machines with simulated annealing algorithms
-
DOI: 10.1016/j.jss.2005.02.025
-
Pai P-F, Hong W-C,. Software reliability forecasting by support vector machines with simulated annealing algorithms. Journal of Systems and Software 2006; 79: 747-755. DOI: 10.1016/j.jss.2005.02.025.
-
(2006)
Journal of Systems and Software
, vol.79
, pp. 747-755
-
-
Pai, P.-F.1
Hong, W.-C.2
-
27
-
-
33845633182
-
Forecasting systems reliability based on support vector regression with genetic algorithms
-
DOI 10.1016/j.ress.2005.12.014, PII S0951832006000147
-
Chen K-Y,. Forecasting systems reliability based on support vector regression with genetic algorithms. Reliability Engineering and System Safety 2007; 92: 423-432. DOI: 10.1016/j.ress.2005.12.014. (Pubitemid 44959904)
-
(2007)
Reliability Engineering and System Safety
, vol.92
, Issue.4
, pp. 423-432
-
-
Chen, K.-Y.1
-
28
-
-
33748695973
-
Support vector regression with genetic algorithms in forecasting tourism demand
-
DOI 10.1016/j.tourman.2005.12.018, PII S0261517706000033
-
Chen K-Y, Wang C-H,. Support vector regression with genetic algorithms in forecasting tourism demand. Tourism Management 2007; 28: 215-226. DOI: 10.1016/j.tourman.2005.12.018. (Pubitemid 44391271)
-
(2007)
Tourism Management
, vol.28
, Issue.1
, pp. 215-226
-
-
Chen, K.-Y.1
Wang, C.-H.2
-
29
-
-
77957929022
-
A multi-objective artificial immune algorithm for parameter optimization in support vector machine
-
DOI: 10.1016/j.asoc.2009.11.003
-
Aydin I, Karakose M, Akin E,. A multi-objective artificial immune algorithm for parameter optimization in support vector machine. Applied Soft Computing 2011; 11: 120-129. DOI: 10.1016/j.asoc.2009.11.003.
-
(2011)
Applied Soft Computing
, vol.11
, pp. 120-129
-
-
Aydin, I.1
Karakose, M.2
Akin, E.3
-
31
-
-
48749109333
-
Particle swarm optimization for parameter determination and feature selection of support vector machines
-
DOI: 10.1016/j.eswa.2007.08.088
-
Lin S-W, Ying K-C, Chen S-C, Lee Z-J,. Particle swarm optimization for parameter determination and feature selection of support vector machines. Expert Systems with Applications 2008; 35: 1817-1824. DOI: 10.1016/j.eswa.2007.08.088.
-
(2008)
Expert Systems with Applications
, vol.35
, pp. 1817-1824
-
-
Lin, S.-W.1
Ying, K.-C.2
Chen, S.-C.3
Lee, Z.-J.4
-
32
-
-
64649086616
-
Particle swarm optimization-based support vector machine for forecasting dissolved gases content in power transformer oil
-
DOI: 10.1016/j.enconman.2009.02.004
-
Fei S-W, Wang M-J, Miao Y-B, Tu J, Liu C-L,. Particle swarm optimization-based support vector machine for forecasting dissolved gases content in power transformer oil. Energy Conversion and Management 2009; 50: 1604-1609. DOI: 10.1016/j.enconman.2009.02.004.
-
(2009)
Energy Conversion and Management
, vol.50
, pp. 1604-1609
-
-
Fei, S.-W.1
Wang, M.-J.2
Miao, Y.-B.3
Tu, J.4
Liu, C.-L.5
-
33
-
-
55749112476
-
Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model
-
DOI: 10.1016/j.enconman.2008.08.031
-
Hong W-C,. Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model. Energy Conversion and Management 2009; 50: 105-117. DOI: 10.1016/j.enconman.2008.08.031.
-
(2009)
Energy Conversion and Management
, vol.50
, pp. 105-117
-
-
Hong, W.-C.1
-
34
-
-
58949102919
-
Use of particle swarm optimization for machinery fault detection
-
DOI: 10.1016/j.engappai.2008.07.006
-
Samanta B, Nataraj C,. Use of particle swarm optimization for machinery fault detection. Engineering Applications of Artificial Intelligence 2009; 22: 308-316. DOI: 10.1016/j.engappai.2008.07.006.
-
(2009)
Engineering Applications of Artificial Intelligence
, vol.22
, pp. 308-316
-
-
Samanta, B.1
Nataraj, C.2
-
35
-
-
33847059431
-
Support vector machines-An introduction
-
Wang L. (ed.). Springer: Berlin
-
Kecman V,. Support vector machines-An introduction. In Support Vector Machines: Theory and Applications, Wang L, (ed.). Springer: Berlin, 2005; 1-47.
-
(2005)
Support Vector Machines: Theory and Applications
, pp. 1-47
-
-
Kecman, V.1
-
38
-
-
0027232319
-
The parsimony principle applied to multivariate calibration
-
DOI 10.1016/0003-2670(93)80430-S
-
Seasholtza MB, Kowalski B,. The parsimony principle applied to multivariate calibration. Analytica Chimica Acta 1993; 277: 165-177. DOI: 10.1016/0003-2670(93)80430-S. (Pubitemid 23157995)
-
(1993)
Analytica Chimica Acta
, vol.277
, Issue.2
, pp. 165-177
-
-
Seasholtz, M.B.1
Kowalski, B.2
-
39
-
-
4944228528
-
A practical guide to support vector classification
-
National Taiwan University, Last updated: April 2010
-
Hsu C-W, Chang C-C, Lin C-J,. A practical guide to support vector classification. Technical Report, Department of Computer Science, National Taiwan University, 2003. Last updated: April 2010.
-
(2003)
Technical Report, Department of Computer Science
-
-
Hsu, C.-W.1
Chang, C.-C.2
Lin, C.-J.3
-
40
-
-
3843050541
-
A study on sigmoid kernels for SVM and the training of non-PSD kernels by SMO-type methods
-
National Taiwan University
-
Lin H-T, Lin C-J,. A study on sigmoid kernels for SVM and the training of non-PSD kernels by SMO-type methods. Technical Report, Department of Computer Science, National Taiwan University, 2003.
-
(2003)
Technical Report, Department of Computer Science
-
-
Lin, H.-T.1
Lin, C.-J.2
-
43
-
-
17444398555
-
Leave-one-out bounds for support vector regression model selection
-
DOI 10.1162/0899766053491869
-
Chang M-W, Lin C-J,. Leave-one-out bounds for support vector regression model selection. Neural Computation 2005; 17: 1188-1222. DOI: 10.1162/0899766053491869. (Pubitemid 40551618)
-
(2005)
Neural Computation
, vol.17
, Issue.5
, pp. 1188-1222
-
-
Chang, M.-W.1
Lin, C.-J.2
-
47
-
-
15944420505
-
Application of neural networks in forecasting engine systems reliability
-
DOI 10.1016/S1568-4946(02)00059-5, PII S1568494602000595
-
Xu K, Xie M, Tang LC, Ho SL,. Application of neural networks in forecasting engine systems reliability. Applied Soft Computing 2003; 2: 255-268. DOI: 10.1016/S1568-4946(02)00059-5. (Pubitemid 40442502)
-
(2003)
Applied Soft Computing Journal
, vol.2
, Issue.4
, pp. 255-268
-
-
Xu, K.1
Xie, M.2
Tang, L.C.3
Ho, S.L.4
-
48
-
-
0003710380
-
LIBSVM: A library for support vector machines
-
National Taiwan University, Taiwan
-
Chang C-C, Lin C-J,. LIBSVM: A library for support vector machines. Technical Report, Department of Computer Science, National Taiwan University, Taiwan, 2001.
-
(2001)
Technical Report, Department of Computer Science
-
-
Chang, C.-C.1
Lin, C.-J.2
-
53
-
-
0037365040
-
Soft computing and hybrid approaches: An introduction to this special issue
-
DOI: 10.1016/S0020-0255(02)00365-1
-
John R,. Soft computing and hybrid approaches: an introduction to this special issue. Information Sciences 2003; 150: 1-3. DOI: 10.1016/S0020-0255(02) 00365-1.
-
(2003)
Information Sciences
, vol.150
, pp. 1-3
-
-
John, R.1
|