• DocumentCode
    3243293
  • Title

    Parallel distributed gradient descent and ascent methods

  • Author

    Takefuji, Y.

  • Author_Institution
    Dept. of Electr. Eng., Case Western Res. Univ., Cleveland, OH, USA
  • fYear
    1989
  • fDate
    0-0 1989
  • Abstract
    Summary form only given, as follows. A parallel distributed processing architecture called an entropy machine (EM) is proposed. This machine, which is based on an artificial neural network composed of massive neurons and interconnections, is used for solving a variety of NP-complete optimization problems. The EM performs the parallel distributed gradient descent method or gradient ascent method to search for minima or maxima.<>
  • Keywords
    entropy; neural nets; optimisation; parallel architectures; search problems; NP-complete optimization problems; artificial neural network; distributed processing architecture; gradient ascent method; maxima; minima; parallel distributed gradient descent method; search; Entropy; Neural networks; Optimization methods; Parallel architectures; Search methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1989. IJCNN., International Joint Conference on
  • Conference_Location
    Washington, DC, USA
  • Type

    conf

  • DOI
    10.1109/IJCNN.1989.118349
  • Filename
    118349
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3243293