DocumentCode
2503799
Title
Genetic algorithm neural network model based on Coke Oven Gas Collector Pressure system
Author
Bai, Ruiping ; Li, HongXing
Author_Institution
Inf. Coll., Beijing Univ. of Chem. Technol., Beijing
fYear
2008
fDate
25-27 June 2008
Firstpage
1992
Lastpage
1995
Abstract
Coke-oven gas collector pressure control system is important in coke oven system. In this paper we identify the model of coke oven gas collectors pressure system and combine with genetic arithmetic and BP artificial neural network, a new model is presented in this article. Because of the limitation of BP algorithm, the genetic algorithm is used to find the fitness weights and thresholds of the neural network model, and the simulation testify that the model is satisfied. At last we put forward a control program to control the collectors pressure.
Keywords
genetic algorithms; neural nets; ovens; power engineering computing; pressure control; BP artificial neural network; coke oven gas collector pressure system; coke oven system; fitness weights; genetic algorithm neural network model; Automation; Decision support systems; Genetic algorithms; Intelligent control; Neural networks; Ovens; Virtual reality; Genetic Algorithm; Neural Network; Oven Gas-Collector;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4594466
Filename
4594466
Link To Document