• DocumentCode
    328295
  • Title

    The softening learning procedure for the layered feedforward networks with multiple output nodes

  • Author

    Tsaih, Ray R.

  • Author_Institution
    Dept. of Manage. Inf. Syst., Nat. Chengchi Univ., Taipei, Taiwan
  • Volume
    1
  • fYear
    1993
  • fDate
    25-29 Oct. 1993
  • Firstpage
    593
  • Abstract
    When we encounter a new case (a new input/output relationship), we will first check if the knowledge we obtained so far could interpret it. If yes, there is no further learning effort involved. If no, we might cram this unfamiliar case; then meditate to reason out a way of integrating it into our knowledge. The author presents a learning algorithm, called the softening learning algorithm, that imitates this way of learning in human beings.
  • Keywords
    feedforward neural nets; inference mechanisms; knowledge acquisition; learning (artificial intelligence); layered feedforward neural networks; linearly separating condition; multiple output nodes; reasoning; softening learning; Computer networks; Feedforward systems; Humans; Management information systems; Softening; Terminology; Yttrium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
  • Print_ISBN
    0-7803-1421-2
  • Type

    conf

  • DOI
    10.1109/IJCNN.1993.713985
  • Filename
    713985