• DocumentCode
    2971620
  • Title

    Learning and structuring of neural networks using genetic algorithm and linear programming

  • Author

    Nakayama, Hirotaka ; Iwata, Tadashi ; Yamauchi, Toshiyuki

  • Author_Institution
    Dept. of Appl. Math., Konan Univ., Kobe, Japan
  • Volume
    3
  • fYear
    1993
  • fDate
    25-29 Oct. 1993
  • Firstpage
    2702
  • Abstract
    Proposes a method for generating neural networks using genetic algorithms and linear programming; the genetic algorithm is used to decide the structure of neural net, while the linear programming is used for learning. This method holds a feature that there is no parameter sensitive to the speed and the precision of learning unlike the usual backpropagation. The effectiveness of the method is shown on the basis of several examples.
  • Keywords
    genetic algorithms; linear programming; neural nets; genetic algorithm; learning; linear programming; neural networks; structuring; Backpropagation; Genetic algorithms; Linear programming; Mathematics; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
  • Print_ISBN
    0-7803-1421-2
  • Type

    conf

  • DOI
    10.1109/IJCNN.1993.714281
  • Filename
    714281
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2971620