• DocumentCode
    275972
  • Title

    Encoding temporal structure in probabilistic RAM nets

  • Author

    Gorse, D. ; Taylor, J.G.

  • Author_Institution
    Univ. Coll. London
  • fYear
    1991
  • fDate
    18-20 Nov 1991
  • Firstpage
    369
  • Lastpage
    372
  • Abstract
    The authors show how both gradient descent and reinforcement training can be used to teach a recurrent probabilistic RAM (pRAM) net to classify binary strings of arbitrary length, and how a form of reinforcement training can be used with `leaky integrator´ pRAM nodes to enable them to store complex temporal sequences
  • Keywords
    learning systems; neural nets; probabilistic logic; binary string classification; complex temporal sequences; gradient descent; grammatical structure learning; leaky integrator; pRAM; probabilistic RAM nets; recurrent probabilistic RAM; regular grammar; reinforcement training;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Artificial Neural Networks, 1991., Second International Conference on
  • Conference_Location
    Bournemouth
  • Print_ISBN
    0-85296-531-1
  • Type

    conf

  • Filename
    140351
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=275972