• DocumentCode
    3210495
  • Title

    Application of artificial neural networks based on Web for variety steel forecasting

  • Author

    Li Fang-fang ; Zhao Ying-kai ; Yu Hui

  • Author_Institution
    Dept. of Autom., Nanjing Univ. of Technol., China
  • fYear
    2006
  • fDate
    7-11 Aug. 2006
  • Firstpage
    1114
  • Lastpage
    1117
  • Abstract
    Due to the complexity of variety steel technology, an artificial forecasting project based on Web for variety steel technology is presented. The project is built under Internet circumstance applying artificial neural network technology. By applying Matlab Web technology and combining with the database and artificial neural network toolbox in MATLAB, the project system has the ability of getting data from variety steel technology database and calculating by neural network and then displaying the calculation result on the browser through Web server. The result of research shows that this forecasting project system can successfully map the technological rule of variety steel, and provide timely forecasting operation of machining result with high efficiency and high accuracy for variety steel´s user under Internet. The forecasting project based on Web can share the knowledge and experience of variety steel technology.
  • Keywords
    Internet; mathematics computing; neural nets; production engineering computing; steel; steel industry; Internet; Matlab Web technology; World Wide Web; artificial forecasting project; artificial neural network; variety steel forecasting; Artificial neural networks; Automation; Chromium; Computer languages; Databases; Electronic mail; IP networks; Steel; Technology forecasting; Web server; Artificial Neural Network; Matlab Web Server; Variety steel; Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2006. CCC 2006. Chinese
  • Conference_Location
    Harbin
  • Print_ISBN
    7-81077-802-1
  • Type

    conf

  • DOI
    10.1109/CHICC.2006.280573
  • Filename
    4060252