Title :
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
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;
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
DOI :
10.1109/CSE.2009.102
