• DocumentCode
    756070
  • Title

    Information theory, complexity and neural networks

  • Author

    Abu-Mostafa, Yaser S.

  • Author_Institution
    California Inst. of Technol., Pasadena, CA, USA
  • Volume
    27
  • Issue
    11
  • fYear
    1989
  • Firstpage
    25
  • Lastpage
    28
  • Abstract
    Some of the main results in the mathematical evaluation of neural networks as information processing systems are discussed. The basic operation of feedback and feed-forward neural networks is described. Their memory capacity and computing power are considered. The concept of learning by example as it applies to neural networks is examined.<>
  • Keywords
    information theory; neural nets; complexity; computing power; feed-forward; feedback; information processing; information theory; learning by example; memory capacity; neural networks; Feedforward neural networks; Feedforward systems; Information processing; Information theory; Neural networks; Neurofeedback;
  • fLanguage
    English
  • Journal_Title
    Communications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0163-6804
  • Type

    jour

  • DOI
    10.1109/35.41397
  • Filename
    41397
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=756070