-
1
-
-
0039203072
-
Reinforcement learning, neural networks and PI control applied to a heating coil
-
Anderson, C.W., Hittle, D.C., Katz, A.D., Kretchman, R.M., 1996. Reinforcement learning, neural networks and PI control applied to a heating coil. In: Proceedings of the International Conference on EANN'96, London (UK), pp. 13542
-
(1996)
Proceedings of the International Conference on EANN'96, London (UK)
, pp. 135-142
-
-
Anderson, C.W.1
Hittle, D.C.2
Katz, A.D.3
Kretchman, R.M.4
-
3
-
-
3242751773
-
-
Cacuci, D.G., Ionescu-Bujor, M., Navon, I.M., 2005. Sensitivity and Uncertainty Analysis, p. 352.
-
(2005)
Sensitivity and Uncertainty Analysis
, pp. 352
-
-
Cacuci, D.G.1
Ionescu-Bujor, M.2
Navon, I.M.3
-
5
-
-
0029488627
-
Utilising artificial neural network and repro-modeling in turbulent combustion
-
Perth (Western Australia)
-
Christo F.C., Masri, A.R., Nebot, E.M., 1995. Utilising artificial neural network and repro-modeling in turbulent combustion. In: Proceedings of the IEEE International Conference on ICNN'95, vol.2, Perth (Western Australia), pp. 91116
-
(1995)
Proceedings of the IEEE International Conference on ICNN'95
, vol.2
, pp. 911-916
-
-
Christo, F.C.1
Masri, A.R.2
Nebot, E.M.3
-
8
-
-
0034870610
-
Bagging neural network sensitivity analysis for feature reduction for in-silico drug design
-
IEEE Press, Washington DC
-
Embrechts, M.J., Arciniegas, F., Ozdemir, M., Breneman, C.M., Bennett, K., Lockwood, L., 2001. Bagging neural network sensitivity analysis for feature reduction for in-silico drug design. In: Proceedings of the 2001 INNS-IEEE International Joint Conference on Neural Networks. IEEE Press, Washington DC, vol. 4, p. 2478.
-
(2001)
Proceedings of the 2001 INNS-IEEE International Joint Conference on Neural Networks
, vol.4
, pp. 2478
-
-
Embrechts, M.J.1
Arciniegas, F.2
Ozdemir, M.3
Breneman, C.M.4
Bennett, K.5
Lockwood, L.6
-
10
-
-
0034230640
-
A methodological framework for the validation of predictive simulations
-
101016/S0377-22179900117-4
-
D. Fraedrich, and A. Goldberg A methodological framework for the validation of predictive simulations European Journal of Operational Research 124 1 2000 55 62 10.1016/S0377-2217(99)00117-4
-
(2000)
European Journal of Operational Research
, vol.124
, Issue.1
, pp. 55-62
-
-
Fraedrich, D.1
Goldberg, A.2
-
12
-
-
85084737696
-
Sensitivity analysis for feedforward artificial neural networks with differentiable activation functions
-
doi: 10.1.1.41.3398
-
Hashem, S., 1992. Sensitivity analysis for feedforward artificial neural networks with differentiable activation functions. In: Proceedings of the 1992 International Joint Conferences on Neural Networks, vol. 1, pp. 419424. doi: 10.1.1.41.3398.
-
(1992)
Proceedings of the 1992 International Joint Conferences on Neural Networks
, vol.1
, pp. 419-424
-
-
Hashem, S.1
-
13
-
-
0025798413
-
Artificial neural networks: An emerging technique to model and control mineral processing plants
-
Hodouin, D., Thibault, J., Flamemt, F., 1991. Artificial neural networks: an emerging technique to model and control mineral processing plants. In: Proceedings of the 120th Annual Meeting of the Society of Mining, Metallurgy and Exploration Inc.
-
(1991)
Proceedings of the 120th Annual Meeting of the Society of Mining, Metallurgy and Exploration Inc
-
-
Hodouin, D.1
Thibault, J.2
Flamemt, F.3
-
14
-
-
0025627940
-
Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks
-
K. Hornik, M. Stinchcombe, and H. White Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks Neural Networks 3 5 1990 551 560
-
(1990)
Neural Networks
, vol.3
, Issue.5
, pp. 551-560
-
-
Hornik, K.1
Stinchcombe, M.2
White, H.3
-
15
-
-
0029637656
-
Verification and validation of simulation models
-
101016/0377-22179400016-6
-
J.P.C. Kleijnen Verification and validation of simulation models European Journal of Operational Research 82 1 1995 145 162 10.1016/0377-2217(94)00016-6
-
(1995)
European Journal of Operational Research
, vol.82
, Issue.1
, pp. 145-162
-
-
Kleijnen, J.P.C.1
-
17
-
-
0034963531
-
Artificial neural networks in renewable energy systems: A review
-
S. Kalogirou Artificial neural networks in renewable energy systems: a review Renewable Sustainable Energy Rev. 5 4 2001 373 401
-
(2001)
Renewable Sustainable Energy Rev.
, vol.5
, Issue.4
, pp. 373-401
-
-
Kalogirou, S.1
-
18
-
-
0000042059
-
Artificial neural network demonstration for automated generation of energy use predictors for commercial buildings
-
J.F. Kreider, and X.A. Wang Artificial neural network demonstration for automated generation of energy use predictors for commercial buildings J.S. Haberl, R.M. Nelson, C.C. Culp, The use of Artificial Intelligence in Building Systems. ASHRAE 1995 193 198
-
(1995)
The Use of Artificial Intelligence in Building Systems. ASHRAE
, pp. 193-198
-
-
Kreider, J.F.1
Wang, X.A.2
-
19
-
-
51249194645
-
A logical calculus of the ideas immanent in nervous activity
-
101007/BF02478259
-
W. McCulloch, and W. Pitts A logical calculus of the ideas immanent in nervous activity Bulletin of Mathematical Biology 5 4 1943 115 133 10.1007/BF02478259
-
(1943)
Bulletin of Mathematical Biology
, vol.5
, Issue.4
, pp. 115-133
-
-
McCulloch, W.1
Pitts, W.2
-
20
-
-
18144367761
-
Applications of data analysis techniques for oil production prediction
-
Nguyen, H.H., Chan, C.W., 2005. Applications of data analysis techniques for oil production prediction. Engineering Applications of Artificial Intelligence 18 (5), 549558. doi:10.1016/j.engappai.2004.11.010
-
(2005)
Engineering Applications of Artificial Intelligence
, vol.18
, Issue.5
, pp. 549-558
-
-
Nguyen, H.H.1
Chan, C.W.2
-
21
-
-
0242608632
-
Neural networks for the analysis and forecasting of advertising and promotion impact
-
H. Poh, J. Yao, and T. Jascaronic Neural networks for the analysis and forecasting of advertising and promotion impact International Journal of Intelligent Systems in Accounting, Finance & Management 7 4 1998 253 268 doi: 10.1002/(SICI)1099-1174(199812)7:4<253::AID-ISAF150>3.0.CO;2-X
-
(1998)
International Journal of Intelligent Systems in Accounting, Finance & Management
, vol.7
, Issue.4
, pp. 253-268
-
-
Poh, H.1
Yao, J.2
Jascaronic, T.3
|