
Application of Neural Networks to the Optimization of the Thermal Treatment Process of Wood Materials
Author(s) -
Mincho Hadjiski,
Nencho Deliiski,
Alexandra Grancharova
Publication year - 2017
Publication title -
information technologies and control
Language(s) - English
Resource type - Journals
eISSN - 2367-5357
pISSN - 1312-2622
DOI - 10.1515/itc-2017-0016
Subject(s) - computation , artificial neural network , process (computing) , thermal , computer science , software , mathematical optimization , algorithm , biological system , mathematics , physics , artificial intelligence , thermodynamics , programming language , operating system , biology
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.