Prediction and Key Computer Programming of Mechanical Properties of Hot Rolled Plate Based on BP Neural Network

Author

Zou, Qinghua ; Chen, Li ; Xiong, Naixue ; Zou, Shengzhong ; Wang, Chuanbing

Author_Institution

Sch. of Mech. & Electron. Eng., Wuhan Univ. of Sci. & Eng., Wuhan, China

Volume

2

fYear

2009

fDate

29-31 Aug. 2009

Firstpage

967

Lastpage

971

Abstract

Based on the theory of artificial neural network, BP algorithm is used for the training of networks,and the relationship between the controlling parameters in hot rolling (temperature, rolling press, chemical composition, cooling rate, etc) and the parameters of mechanical properties is established, key computer programming has been determined. The calculation results are in good agreement with the experimental results.

Keywords

backpropagation; hot rolling; mechanical properties; neural nets; plates (structures); programming; steel industry; BP neural network; hot rolled plate; key computer programming; mechanical property prediction; steel rolling; Artificial neural networks; Chemical technology; Computer science; Mathematical model; Mechanical factors; Neural networks; Neurons; Programming; Steel; Testing; BP Artificial neural network; Hot Rolled Plate; Mechanical Properties Prediction; key computer programming;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Science and Engineering, 2009. CSE '09. International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

978-1-4244-5334-4

Electronic_ISBN

978-0-7695-3823-5

Type

conf

DOI

10.1109/CSE.2009.102

Filename

5283399