Uncertainty analysis of COP prediction in a water purification system integrated into a heat transformer using several artificial neural networks

2013 ◽  
Vol 51 (7-9) ◽  
pp. 1443-1456 ◽  
Author(s):  
J.A. Hernández ◽  
D. Colorado
Desalination ◽  
2004 ◽  
Vol 165 ◽  
pp. 385-391 ◽  
Author(s):  
A. Huicochea ◽  
J. Siqueiros ◽  
R.J. Romero

2013 ◽  
Vol 34 (4) ◽  
pp. 1169-1180 ◽  
Author(s):  
Majid Dehghani ◽  
Bahram Saghafian ◽  
Farzin Nasiri Saleh ◽  
Ashkan Farokhnia ◽  
Roohollah Noori

Author(s):  
Anna S. Astrakova ◽  
◽  
Dmitry Yu. Kushnir ◽  
Nikolay N. Velker ◽  
Gleb V. Dyatlov ◽  
...  

We propose an approach to inversion of induction LWD measurements based on calculation of the synthetic signals by artificial neural networks (ANN) specially trained on some database. The database for ANN training is generated by means of the proprietary 2D solver Pie2d. Validation of the proposed approach and estimation of computation time is performed for the problem of reconstruction of the three–layer model with a wall. Also, we make uncertainty analysis for the reconstructed model parameters for two tool configurations.


2017 ◽  
Vol 73 ◽  
pp. 64-72
Author(s):  
T. Hernandez ◽  
S.G. Perez ◽  
O. Flores ◽  
J.A. Hernandez ◽  
D. Juarez-Romero ◽  
...  

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