• DocumentCode
    401649
  • Title

    Study on new evolutionary neural network

  • Author

    Gao, Wei

  • Author_Institution
    Wuhan Polytech Univ., China
  • Volume
    2
  • fYear
    2003
  • fDate
    2-5 Nov. 2003
  • Firstpage
    1287
  • Abstract
    The evolutionary neural network model can be generated combining the evolutionary computation with neural network. Based on analysis of merits and demerits of previously proposed evolutionary neural network models, and combining the immunized evolutionary programming proposed by the author, BP neural network, a new evolutionary neural network model whose architecture and connection weights evolve simultaneously is proposed. At last, through the typical XOR problem, the new model is compared and analyzed with BP neural network and traditional evolutionary neural network. The computing results show that the precision and efficiency of the new model are all good.
  • Keywords
    genetic algorithms; neural nets; XOR problem; evolutionary computation; evolutionary neural network; genetic algorithm; immunized evolutionary programming; Algorithm design and analysis; Binary codes; Computer architecture; Computer networks; Electronic mail; Evolutionary computation; Genetic algorithms; Genetic programming; Neural networks; Next generation networking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2003 International Conference on
  • Print_ISBN
    0-7803-8131-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2003.1259687
  • Filename
    1259687