• DocumentCode
    3040247
  • Title

    Appraisal of High-Tech Zone Technology Innovation Ability Based on BP Neural Network

  • Author

    Wang, Aifeng ; Liu, Zhiqiang

  • Author_Institution
    Econ. & Manage. Sch., Hebei Eng. Univ., Hanhan, China
  • fYear
    2009
  • fDate
    24-26 July 2009
  • Firstpage
    25
  • Lastpage
    28
  • Abstract
    High-tech industry zone play a important role in the global economic system with the continuously new knowledge innovation, itpsilas becoming the main motion of regional economic structure optimization and competition. The technology ability and diffuse effect of High-tech zone influence itself and regional economic development greatly. This paper design High-tech zone technology innovation ability appraisal index system, and take integrated appraisal with BP neural network, a improved method is put forward to identification mode by Euclidean distance, and appraise a true sample with it.
  • Keywords
    backpropagation; economics; globalisation; innovation management; neural nets; optimisation; BP neural network; Euclidean distance; global economic system; high-tech zone technology innovation; knowledge innovation; optimization; Appraisal; Artificial neural networks; Biological neural networks; Feedforward neural networks; Innovation management; Knowledge engineering; Multi-layer neural network; Neural networks; Space technology; Technological innovation; BP -neural network; High-tech zone; identification mode; technology ability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3705-4
  • Type

    conf

  • DOI
    10.1109/BIFE.2009.15
  • Filename
    5208945