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
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;
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
DOI :
10.1109/WCICA.2008.4594466