-
1
-
-
0026817991
-
Application of neural networks for sensor validation and plant monitoring
-
Upadhyaya, B. R., and E. Eryurek (1992), "Application of Neural Networks for Sensor Validation and Plant Monitoring", Nuclear Technology, 97, 170-176 (February 1992).
-
(1992)
Nuclear Technology
, vol.97
, pp. 170-176
-
-
Upadhyaya, B.R.1
Eryurek, E.2
-
3
-
-
34547419173
-
Performance comparison of variable selection and grouping algorithms
-
SmartSignal Corp
-
Wegerich, S. (2002), "Performance Comparison of Variable Selection and Grouping Algorithms", Technical Report, SmartSignal Corp.
-
(2002)
Technical Report
-
-
Wegerich, S.1
-
4
-
-
4644303673
-
-
FLINS-98, Antwerpen, Belgium
-
Fantoni, P., S. Figedy, and A. Racz (1998), "A Neuro- Fuzzy Model Applied to Full Range Signal Validation of PWR Nuclear Power Plant Data", FLINS-98, Antwerpen, Belgium.
-
(1998)
A Neuro- Fuzzy Model Applied to Full Range Signal Validation of PWR Nuclear Power Plant Data
-
-
Fantoni, P.1
Figedy, S.2
Racz, A.3
-
5
-
-
34249753618
-
Support vector networks
-
C. Cortes and V. Vapnik. Support vector networks, Machine Learning 20: 273-297, 1995.
-
(1995)
Machine Learning
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
7
-
-
34047139165
-
Support vector machines for nuclear reactor state estimation
-
Pittsburgh, USA
-
N. Zavaljevski and K. C. Gross. "Support Vector Machines for Nuclear Reactor State Estimation", ANS International Topical Meeting May 7-11, 2000, Pittsburgh, USA
-
(2000)
ANS International Topical Meeting
, pp. 7-11
-
-
Zavaljevski, N.1
Gross, K.C.2
-
8
-
-
51449107089
-
-
NPIC&HMIT 2000, Washington DC, November
-
A. V. Gribok, J. W. Hines, R. E. Uhrig. "Use of Kernel Based Techniques For Sensor Validation In Nuclear Power Plants", NPIC&HMIT 2000, Washington, DC, November, 2000.
-
(2000)
Use of Kernel Based Techniques For Sensor Validation In Nuclear Power Plants
-
-
Gribok, A.V.1
Hines, J.W.2
Uhrig, R.E.3
-
9
-
-
38049138720
-
-
Liu X, Chen HC, Liu TA, Li YL, Lu ZR, Lu WC. "Application of PCA-SVR to NIR prediction model for tobacco chemical composition", 2007 Dec; 27 (12):2460-2463
-
(2007)
Application of PCA-SVR to NIR Prediction Model for Tobacco Chemical Composition
, vol.27
, Issue.12
, pp. 2460-2463
-
-
Liu, X.1
Chen, H.C.2
Liu, T.A.3
Li, Y.L.4
Lu, Z.R.5
Lu, W.C.6
-
11
-
-
33847148421
-
Modeling of temperature-frequency correlation using combined principal component analysis and support vector regression technique
-
X. G. Hua, Y. Q. Ni, J. M. Ko, F. ASCE and K. Y. Wong. "Modeling of Temperature-Frequency Correlation Using Combined Principal Component Analysis and Support Vector Regression Technique", journal of computing in civil engineering march/April 2007, 122-135
-
(2007)
Journal of Computing in Civil Engineering
, pp. 122-135
-
-
Hua, X.G.1
Ni, Y.Q.2
Ko, J.M.3
Asce, F.4
Wong, K.Y.5
-
15
-
-
33748340523
-
A neuro-fuzzy inference system for sensor failure detection using wavelet denosing, PCA and SPRT
-
M. G . Na, "A Neuro-Fuzzy Inference System for Sensor Failure Detection Using Wavelet Denosing, PCA and SPRT," J. Korean Nucl. Soc., vol 33, no.5, pp483-497, Oct. 2001.
-
(2001)
J. Korean Nucl. Soc.
, vol.33
, Issue.5
, pp. 483-497
-
-
Na, M.G.1
-
16
-
-
44249092590
-
A soft-sensing model for feedwater flow rate using fuzzy support vector regression
-
M. G. Na, H. Y. Yang, D. H. Lim, "A Soft-sensing Model for Feedwater Flow Rate Using Fuzzy Support Vector Regression," Nucl. Eng. Tech., vol 40, no.1, pp69-76, Feb. 2008.
-
(2008)
Nucl. Eng. Tech.
, vol.40
, Issue.1
, pp. 69-76
-
-
Na, M.G.1
Yang, H.Y.2
Lim, D.H.3
-
17
-
-
33748354468
-
Inferential sensing and monitoring for feedwater flowrate in pressurized water reactors
-
M. G. Na, I. J. Hwang, and Y. J. Lee, "Inferential Sensing and Monitoring for Feedwater Flowrate in Pressurized Water Reactors," IEEE Trans. Nucl. Sci., vol.53, no.4, pp. 2335-2342, 2006.
-
(2006)
IEEE Trans. Nucl. Sci.
, vol.53
, Issue.4
, pp. 2335-2342
-
-
Na, M.G.1
Hwang, I.J.2
Lee, Y.J.3
-
18
-
-
70449575902
-
An on-line monitoring technique using support vector regression and principal component analysis
-
Vienna, Austria
-
I. Y. Seo, and S. J. Kim, "An On-line Monitoring Technique Using Support Vector Regression and Principal Component Analysis" CIMCA 2008, Vienna, Austria, pp. 663-669. 2008.
-
(2008)
CIMCA 2008
, pp. 663-669
-
-
Seo, I.Y.1
Kim, S.J.2
-
19
-
-
34548258307
-
On-line support vector regression approach for the monitoring of motor shaft misalignment and feedwater flow rate
-
Man, Cybernetics, Part C
-
O. Omitaomu, M. K. Jeong, A. Badiru, and J. W. Hines, "On-Line Support Vector Regression Approach for the Monitoring of Motor Shaft Misalignment and Feedwater Flow Rate," IEEE Transactions on Systems, Man, Cybernetics, Part C, 37(5), 962-970. 2007.
-
(2007)
IEEE Transactions on Systems
, vol.37
, Issue.5
, pp. 962-970
-
-
Omitaomu, O.1
Jeong, M.K.2
Badiru, A.3
Hines, J.W.4
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