-
1
-
-
84907352012
-
Rotor dynamic response of a centrifugal compressor due to liquid carry over: a case study
-
Al Yahyai M., Mba D. Rotor dynamic response of a centrifugal compressor due to liquid carry over: a case study. Eng. Fail. Anal. 2014, 45:436-448.
-
(2014)
Eng. Fail. Anal.
, vol.45
, pp. 436-448
-
-
Al Yahyai, M.1
Mba, D.2
-
2
-
-
0000342467
-
Statistical inference for probabilistic functions of finite state Markov chains
-
Baum L.E., Petrie T. Statistical inference for probabilistic functions of finite state Markov chains. Ann. Math. Stat. 1966, 1554-1563.
-
(1966)
Ann. Math. Stat.
, pp. 1554-1563
-
-
Baum, L.E.1
Petrie, T.2
-
3
-
-
27744505094
-
HMMs for diagnostics and prognostics in machining processes
-
Baruah P., Chinnam R.B. HMMs for diagnostics and prognostics in machining processes. Int. J. Prod. Res. 2005, 43(6):1275-1293.
-
(2005)
Int. J. Prod. Res.
, vol.43
, Issue.6
, pp. 1275-1293
-
-
Baruah, P.1
Chinnam, R.B.2
-
4
-
-
69349090197
-
Learning deep architectures for AI
-
Bengio Y. Learning deep architectures for AI. Found. Trends Mach. Learn. 2009, 2(1):1-127.
-
(2009)
Found. Trends Mach. Learn.
, vol.2
, Issue.1
, pp. 1-127
-
-
Bengio, Y.1
-
5
-
-
84864073449
-
Greedy layer-wise training of deep networks
-
Bengio Y., Lamblin P., Popovici D., Larochelle H. Greedy layer-wise training of deep networks. Advances in Neural Information Processing Systems 2007, vol. 19:153.
-
(2007)
Advances in Neural Information Processing Systems
, vol.19
, pp. 153
-
-
Bengio, Y.1
Lamblin, P.2
Popovici, D.3
Larochelle, H.4
-
6
-
-
0037768682
-
Continuous restricted Boltzmann machine with an implementable training algorithm
-
Chen H., Murray A.F. Continuous restricted Boltzmann machine with an implementable training algorithm. Vis. Image Signal Process. IEE Proc. IET 2003, 150(3):153-158.
-
(2003)
Vis. Image Signal Process. IEE Proc. IET
, vol.150
, Issue.3
, pp. 153-158
-
-
Chen, H.1
Murray, A.F.2
-
7
-
-
79956368060
-
Forecasting turbine problems by means of the state space framework
-
Carnero M.C., Pedregal D.J. Forecasting turbine problems by means of the state space framework. J. Loss Prev. Process Ind. 2011, 24(4):432-439.
-
(2011)
J. Loss Prev. Process Ind.
, vol.24
, Issue.4
, pp. 432-439
-
-
Carnero, M.C.1
Pedregal, D.J.2
-
8
-
-
84055222005
-
Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition
-
Dahl G.E., Yu D., Deng L., Acero A. Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition. Audio Speech Lang. Process. IEEE Trans. 2012, 20(1):30-42.
-
(2012)
Audio Speech Lang. Process. IEEE Trans.
, vol.20
, Issue.1
, pp. 30-42
-
-
Dahl, G.E.1
Yu, D.2
Deng, L.3
Acero, A.4
-
9
-
-
84876840567
-
EWaSAP: an early warning sign identification approach based on a systemic hazard analysis
-
Dokas I.M., Feehan J., Imran S. EWaSAP: an early warning sign identification approach based on a systemic hazard analysis. Saf. Sci. 2013, 58:11-26.
-
(2013)
Saf. Sci.
, vol.58
, pp. 11-26
-
-
Dokas, I.M.1
Feehan, J.2
Imran, S.3
-
10
-
-
84876258641
-
Learning hierarchical features for scene labeling
-
Farabet C., Couprie C., Najman L., LeCun Y. Learning hierarchical features for scene labeling. Pattern Anal. Mach. Intell. IEEE Trans. 2013, 35(8):1915-1929.
-
(2013)
Pattern Anal. Mach. Intell. IEEE Trans.
, vol.35
, Issue.8
, pp. 1915-1929
-
-
Farabet, C.1
Couprie, C.2
Najman, L.3
LeCun, Y.4
-
11
-
-
80051596307
-
Neural network-based symbol recognition using a few labeled samples
-
Fu L., Kara L.B. Neural network-based symbol recognition using a few labeled samples. Comput. Graph. 2011, 35(5):955-966.
-
(2011)
Comput. Graph.
, vol.35
, Issue.5
, pp. 955-966
-
-
Fu, L.1
Kara, L.B.2
-
12
-
-
0013344078
-
Training products of experts by minimizing contrastive divergence
-
Hinton G.E. Training products of experts by minimizing contrastive divergence. Neural Comput. 2002, 14(8):1771-1800.
-
(2002)
Neural Comput.
, vol.14
, Issue.8
, pp. 1771-1800
-
-
Hinton, G.E.1
-
13
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
Hinton G.E., Osindero S., Teh Y.W. A fast learning algorithm for deep belief nets. Neural Comput. 2006, 18(7):1527-1554.
-
(2006)
Neural Comput.
, vol.18
, Issue.7
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.W.3
-
14
-
-
84872506495
-
A practical guide to training restricted boltzmann machines
-
Springer, Berlin Heidelberg
-
Hinton G.E. A practical guide to training restricted boltzmann machines. Neural Networks: Tricks of the Trade 2012, 599-619. Springer, Berlin Heidelberg.
-
(2012)
Neural Networks: Tricks of the Trade
, pp. 599-619
-
-
Hinton, G.E.1
-
15
-
-
84881292563
-
An HMM-based over-sampling technique to improve text classification
-
Iglesias E.L., Vieira A.S., Borrajo L. An HMM-based over-sampling technique to improve text classification. Expert Syst. Appl. 2013, 40(18):7184-7192.
-
(2013)
Expert Syst. Appl.
, vol.40
, Issue.18
, pp. 7184-7192
-
-
Iglesias, E.L.1
Vieira, A.S.2
Borrajo, L.3
-
16
-
-
84919884296
-
Fault diagnosis of pipeline and pump unit systems using status coupling analysis
-
Kang J., Zhang L., Liang W. Fault diagnosis of pipeline and pump unit systems using status coupling analysis. J. Loss Prev. Process Ind. 2015, 33:70-76.
-
(2015)
J. Loss Prev. Process Ind.
, vol.33
, pp. 70-76
-
-
Kang, J.1
Zhang, L.2
Liang, W.3
-
17
-
-
84899568094
-
Time series forecasting using a deep belief network with restricted Boltzmann machines
-
Kuremoto T., Kimura S., Kobayashi K., et al. Time series forecasting using a deep belief network with restricted Boltzmann machines. Neurocomputing 2014, 137:47-56.
-
(2014)
Neurocomputing
, vol.137
, pp. 47-56
-
-
Kuremoto, T.1
Kimura, S.2
Kobayashi, K.3
-
18
-
-
84885018698
-
Towards adaptive learning with improved convergence of deep belief networks on graphics processing units
-
Lopes N., Ribeiro B. Towards adaptive learning with improved convergence of deep belief networks on graphics processing units. Pattern Recognit. 2014, 47(1):114-127.
-
(2014)
Pattern Recognit.
, vol.47
, Issue.1
, pp. 114-127
-
-
Lopes, N.1
Ribeiro, B.2
-
19
-
-
84885603005
-
Coupling relations and early-warning for "equipment chain" in long-distance pipeline
-
Liang W., Lu L., Zhang L. Coupling relations and early-warning for "equipment chain" in long-distance pipeline. Mech. Syst. Signal Process. 2013, 41(1):335-347.
-
(2013)
Mech. Syst. Signal Process.
, vol.41
, Issue.1
, pp. 335-347
-
-
Liang, W.1
Lu, L.2
Zhang, L.3
-
20
-
-
79958842816
-
Discriminative deep belief networks for visual data classification
-
Liu Y., Zhou S., Chen Q. Discriminative deep belief networks for visual data classification. Pattern Recognit. 2011, 44(10):2287-2296.
-
(2011)
Pattern Recognit.
, vol.44
, Issue.10
, pp. 2287-2296
-
-
Liu, Y.1
Zhou, S.2
Chen, Q.3
-
21
-
-
4344686230
-
Hidden Markov model-based fault diagnostics method in speed-up and speed-down process for rotating machinery
-
Li Z., Wu Z., He Y., et al. Hidden Markov model-based fault diagnostics method in speed-up and speed-down process for rotating machinery. Mech. Syst. Signal Process. 2005, 19(2):329-339.
-
(2005)
Mech. Syst. Signal Process.
, vol.19
, Issue.2
, pp. 329-339
-
-
Li, Z.1
Wu, Z.2
He, Y.3
-
22
-
-
79959840616
-
Investigation of full-sequence training of deep belief networks for speech recognition
-
Mohamed A., Yu D., Deng L. Investigation of full-sequence training of deep belief networks for speech recognition. INTERSPEECH 2010, 2846-2849.
-
(2010)
INTERSPEECH
, pp. 2846-2849
-
-
Mohamed, A.1
Yu, D.2
Deng, L.3
-
23
-
-
13944267843
-
Evolution strategy for gas-turbine fault-diagnoses
-
Ogaji S.O.T., Sampath S., Marinai L., et al. Evolution strategy for gas-turbine fault-diagnoses. Appl. Energy 2005, 81(2):222-230.
-
(2005)
Appl. Energy
, vol.81
, Issue.2
, pp. 222-230
-
-
Ogaji, S.O.T.1
Sampath, S.2
Marinai, L.3
-
24
-
-
84894261826
-
Data-driven soft sensor development based on deep learning technique
-
Shang C., Yang F., Huang D., Lyu W. Data-driven soft sensor development based on deep learning technique. J. Process Control 2014, 24(3):223-233.
-
(2014)
J. Process Control
, vol.24
, Issue.3
, pp. 223-233
-
-
Shang, C.1
Yang, F.2
Huang, D.3
Lyu, W.4
-
25
-
-
41549112810
-
Fault diagnosis of an industrial gas turbine prototype using a system identification approach
-
Simani S., Patton R.J. Fault diagnosis of an industrial gas turbine prototype using a system identification approach. Control Eng. Pract. 2008, 16(7):769-786.
-
(2008)
Control Eng. Pract.
, vol.16
, Issue.7
, pp. 769-786
-
-
Simani, S.1
Patton, R.J.2
-
26
-
-
84904389479
-
Smoothing of HMM parameters for efficient recognition of online handwriting
-
Samanta O., Bhattacharya U., Parui S.K. Smoothing of HMM parameters for efficient recognition of online handwriting. Pattern Recognit. 2014, 47(11):3614-3629.
-
(2014)
Pattern Recognit.
, vol.47
, Issue.11
, pp. 3614-3629
-
-
Samanta, O.1
Bhattacharya, U.2
Parui, S.K.3
-
27
-
-
84875848937
-
Failure diagnosis using deep belief learning based health state classification
-
Tamilselvan P., Wang P. Failure diagnosis using deep belief learning based health state classification. Reliab. Eng. Syst. Saf. 2013, 115:124-135.
-
(2013)
Reliab. Eng. Syst. Saf.
, vol.115
, pp. 124-135
-
-
Tamilselvan, P.1
Wang, P.2
-
28
-
-
84857642411
-
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
-
Taieb S.B., Bontempi G., Atiya A.F., et al. A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition. Expert Syst. Appl. 2012, 39(8):7067-7083.
-
(2012)
Expert Syst. Appl.
, vol.39
, Issue.8
, pp. 7067-7083
-
-
Taieb, S.B.1
Bontempi, G.2
Atiya, A.F.3
-
29
-
-
84893464266
-
An approach to fault diagnosis of reciprocating compressor valves using Teager-Kaiser energy operator and deep belief networks
-
Tran V.T., Al Thobiani F., Ball A. An approach to fault diagnosis of reciprocating compressor valves using Teager-Kaiser energy operator and deep belief networks. Expert Syst. Appl. 2014, 41(9):4113-4122.
-
(2014)
Expert Syst. Appl.
, vol.41
, Issue.9
, pp. 4113-4122
-
-
Tran, V.T.1
Al Thobiani, F.2
Ball, A.3
|