• DocumentCode
    2997130
  • Title

    BG: a hybrid algorithm for MLP

  • Author

    Lu, Chun ; Shi, Bingxue ; Chen, Lu

  • Author_Institution
    Inst. of Microelectron., Tsinghua Univ., Beijing, China
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    360
  • Lastpage
    363
  • Abstract
    The proposed hybrid BG learning method for a Multilayer Feedforward Perceptron (MLP) blends the merits of both the Back-Propagation algorithm (BP) and the Genetic Algorithm (GA). BG has superior performance over both BP and GA because it learns from their strong points to offset their weakness. Results of the experiments including the XOR problem and the sin(x) function approximation have proved the good performance of the BG algorithm
  • Keywords
    feedforward neural nets; function approximation; learning (artificial intelligence); multilayer perceptrons; MLP; XOR problem; hybrid BG learning method; multilayer feedforward perceptron; sin(x) function approximation; Convergence; Genetic mutations; Hardware; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2000. IEEE APCCAS 2000. The 2000 IEEE Asia-Pacific Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    0-7803-6253-5
  • Type

    conf

  • DOI
    10.1109/APCCAS.2000.913509
  • Filename
    913509
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2997130