Spatiotemporal Parameter Estimation of Thermal Treatment Process via Initial Condition Reconstruction Using Neural Networks

Author(s):  
M Hadjiski ◽  
Nencho Deliiski ◽  
Aleksandra Grancharova
2017 ◽  
Vol 15 (1) ◽  
pp. 2-8
Author(s):  
M. Hadjiski ◽  
N. Deliiski ◽  
A. Grancharova

Abstract In this paper, a software system for 2-dimensional and 3-dimensional modeling of frozen and not frozen logs and prismatic wood materials is used as a basis for optimization of the thermal treatment process of such materials. Then, the dependence of the optimal heating time on various parameters is approximated by means of neural networks. This would allow a fast real-time computation of the optimal heating time instead of performing extensive numerical simulations of the model comprised of partial differential equations.


2006 ◽  
Vol 14 (5) ◽  
pp. 483-493 ◽  
Author(s):  
A. L. Araújo ◽  
C. M. Mota Soares ◽  
J. Herskovits ◽  
P. Pedersen

2018 ◽  
pp. 655 ◽  
Author(s):  
Wei Chien ◽  
Chi-Yu Lin ◽  
Shang-Te Tsai ◽  
Cheng-Fu Yang ◽  
Chiu-Chen Chang ◽  
...  

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