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

Volume

4

fYear

2011

fDate

12-14 Aug. 2011

Firstpage

2159

Lastpage

2163

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/EMEIT.2011.6023011

Filename

6023011