Skip to main navigation Skip to search Skip to main content

Research on enterprise core competitive power evaluation model based on genetic algorithm and neural network

  • Pei Wu Dong*
  • , Wei Wei Liu
  • , Yan Feng Lou
  • *Corresponding author for this work
    • Harbin Institute of Technology
    • China Aerospace Science and Industry Corporation

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Taking the second research academy of China Aerospace Science and Industry Corp. as an example, an evaluation model of core competitive power was established by genetic algorithm and BP neural network. The model can improve the convergence efficiency of neural network, conquer the shortcomings of long training and local optimum, achieve whole optimum of algorithm results. A calculation sample was pulled in to illustrate the feasibility and precision of the model from the verified perspective.

    Original languageEnglish
    Pages (from-to)114-118
    Number of pages5
    JournalBinggong Xuebao/Acta Armamentarii
    Volume30
    Issue numberSUPPL. 1
    Publication statusPublished - Nov 2009

    Keywords

    • BP neural network
    • Core competitive power
    • Genetic algorithm
    • Second research academy of China Aerospace Science and Industry Corp.

    Fingerprint

    Dive into the research topics of 'Research on enterprise core competitive power evaluation model based on genetic algorithm and neural network'. Together they form a unique fingerprint.

    Cite this