Title :
The design of pre-estimating neural network model for high-impedance electric arc furnace
Author :
Li, Qiang ; Chen, Bing ; Liu, Jun ; Yu, Jianmm ; Liang, Li ; Hua, Kai ; Lei, Wuping
Author_Institution :
Xian Univ. of Technol., Xi´´an, China
Abstract :
Introduces the characteristics and method of the intelligent-type computer control system of a high-impedance electric arc furnace, and then focuses on the designing of a pre-estimating neural network model including the application of genetic algorithms in establishing a neural network model and the requirement of real time study for a neural network model. It is verified that this system has a series of advantages such as high efficiency, low consumption of energy, electrodes and refractories through practical operation.
Keywords :
arc furnaces; genetic algorithms; intelligent control; neural nets; genetic algorithm; high-impedance electric arc furnace; intelligent-type computer control system; pre-estimating neural network model; Algorithm design and analysis; Application software; Computer networks; Control system synthesis; Furnaces; Genetic algorithms; Intelligent control; Intelligent networks; Intelligent systems; Neural networks;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1021556