• DocumentCode
    1837784
  • Title

    New evolutionary neural networks

  • Author

    Gao, Wei

  • Author_Institution
    Wuhan Polytech. Univ., China
  • fYear
    2005
  • fDate
    26-28 May 2005
  • Firstpage
    167
  • Lastpage
    171
  • Abstract
    The evolutionary neural network can be generated combining the evolutionary computation and neural network. Based on analysis of merits and demerits of previously proposed evolutionary neural network models, combining the immunized evolutionary programming proposed by author and 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
    backpropagation; evolutionary computation; neural nets; XOR problem; connection weights; evolutionary computation; evolutionary neural network; immunized evolutionary programming; neural network architecture; Algorithm design and analysis; Competitive intelligence; Computer architecture; Computer networks; Evolutionary computation; Genetic algorithms; Genetic programming; Intelligent networks; Neural networks; Next generation networking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Interface and Control, 2005. Proceedings. 2005 First International Conference on
  • Print_ISBN
    0-7803-8902-6
  • Type

    conf

  • DOI
    10.1109/ICNIC.2005.1499869
  • Filename
    1499869