Title :
Temperature field reconstruction using artificial neural network
Author :
Ran Yan ; Yu Ma ; Heping Tan ; Jing Ma
Author_Institution :
Sch. of Energy Sci. & Eng., Harbin Inst. of Technol., Harbin, China
Abstract :
BP Neural Network (BPNN), one of Artificial Neural Network (ANN) algorithm, was introduced to heat transfer in this paper, which builds a complete anti-continuous mapping to reconstruct the temperature field by training sample points of research model, without the information of boundary conditions, initial conditions and physical parameters. In addition, some optimization method like unevenly selecting sample and genetic algorithm were used to improve the reconstruction accuracy.
Keywords :
backpropagation; genetic algorithms; heat transfer; mechanical engineering computing; neural nets; ANN; BP neural network; BPNN; anti-continuous mapping to; artificial neural network algorithm; genetic algorithm; heat transfer; optimization method; sample algorithm; temperature field reconstruction; Artificial neural networks; Biological neural networks; Genetic algorithms; Heat transfer; Heating; Mathematical model; Training; ANN; BPNN; GA; Temperature field;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023011
