• DocumentCode
    2624346
  • Title

    Asymptotic behaviors of simulated annealing and mean-field approximate annealing

  • Author

    Matsuba, Ikuo ; Masui, Hironari

  • Author_Institution
    Hitachi Ltd., Kawasaki, Japan
  • fYear
    1991
  • fDate
    18-21 Nov 1991
  • Firstpage
    923
  • Abstract
    The asymptotic behaviors of simulated annealing are investigated both theoretically and numerically for the fully connected Hopfield neural network. The energy using ordinary simulated annealing is found to scale as 1/log(t), while the energy using the mean-field approximate annealing method proposed in the present work shows a faster scaling property described by 1/t1/2, where t is an iterative time step
  • Keywords
    iterative methods; neural nets; simulated annealing; asymptotic behaviors; fully connected Hopfield neural network; iterative time step; mean-field approximate annealing; scaling property; simulated annealing; Boltzmann distribution; Cooling; Costs; Hopfield neural networks; Iterative methods; Laboratories; Neurons; Optimization methods; Simulated annealing; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991. 1991 IEEE International Joint Conference on
  • Print_ISBN
    0-7803-0227-3
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.170518
  • Filename
    170518
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2624346