DocumentCode :
3519807
Title :
The Intelligent Prediction of Flux Addition of P-S Converter
Author :
Liu Guo-Ping ; Zhang Xu-bin ; Hu Rong-hua
Author_Institution :
Nanchang Univ., Nanchang, China
fYear :
2011
fDate :
28-29 May 2011
Firstpage :
1
Lastpage :
3
Abstract :
Base on the situation analysis of copper matte smelting in P-S converter in the slag stage, this paper use modern BP neural network algorithm to realize the intelligent prediction of optimal flux addition through C programming. The module which is proved by the neural network toolbox of MATLAB can meet the demand of practical application. And the algorithm training time is greatly shortened in engineering operation. This module achieves the auxiliary judgment of prediction for the flux addition amount.
Keywords :
backpropagation; copper; metallurgy; neural nets; production engineering computing; slag; smelting; BP neural network algorithm; C programming; Cu; MATLAB; P-S converter; algorithm training time; copper matte smelting; engineering operation; flux addition; intelligent prediction; metallurgy; neural network toolbox; slag; Artificial neural networks; Copper; MATLAB; Programming; Slag; Smelting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9855-0
Electronic_ISBN :
978-1-4244-9857-4
Type :
conf
DOI :
10.1109/ISA.2011.5873302
Filename :
5873302
Link To Document :
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