• DocumentCode
    2333865
  • Title

    Neural networks-twelve learning algorithms

  • Author

    Vassiliadis, C.A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ohio Univ., Athens, OH, USA
  • fYear
    1990
  • fDate
    11-13 Mar 1990
  • Firstpage
    449
  • Lastpage
    454
  • Abstract
    A review of the 12 major learning algorithms is presented, and an extensive set of references is provided. The models are represented in chronological order from the Perceptron (1957) to the Functional Link Net (1988)
  • Keywords
    learning systems; neural nets; Functional Link Net; Perceptron; learning algorithms; neural networks; Artificial neural networks; Backpropagation algorithms; Biological neural networks; Biological system modeling; Books; Character recognition; Computer networks; Nervous system; Neural networks; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1990., Twenty-Second Southeastern Symposium on
  • Conference_Location
    Cookeville, TN
  • ISSN
    0094-2898
  • Print_ISBN
    0-8186-2038-2
  • Type

    conf

  • DOI
    10.1109/SSST.1990.138188
  • Filename
    138188
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2333865