• DocumentCode
    352743
  • Title

    The combination of genetic algorithms and neural networks used for estimating the LCC

  • Author

    Ming, Liu ; Lei, Li ; Yijing, Liu

  • Author_Institution
    Missile Inst., Air Force Eng. Univ., Shaanxi, China
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    573
  • Abstract
    The necessity and feasibility of combining the neural network (NN) with genetic algorithms (GAs) are first discussed, and the notion of using the three-layer feedforward NN as the representation method of genetic and the search technique is then introduced. Finally, the combination of GAs and NN was used to estimate the cost for equipment ordering. The results obtained show that the genetic and backpropagation algorithms improved the capability of fast learning NN and avoided the local minimum numerical value
  • Keywords
    backpropagation; estimation theory; feedforward neural nets; genetic algorithms; life cycle costing; search problems; backpropagation; equipment ordering; feedforward neural network; genetic algorithms; life cycle cost; search technique; Costs; Feeds; Genetic algorithms; Genetic engineering; Missiles; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
  • Conference_Location
    Hefei
  • Print_ISBN
    0-7803-5995-X
  • Type

    conf

  • DOI
    10.1109/WCICA.2000.860035
  • Filename
    860035