• 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