• DocumentCode
    1330236
  • Title

    Artificial neural networks

  • Author

    Dalton, Jeff ; Deshmane, Atul

  • Author_Institution
    Missouri Univ., Rolla, MO, USA
  • Volume
    10
  • Issue
    2
  • fYear
    1991
  • fDate
    4/1/1991 12:00:00 AM
  • Firstpage
    33
  • Lastpage
    36
  • Abstract
    A general neural network model is introduced. The authors begin with a discussion of models for both individual neurons and for networks of neurons. A common learning rule, i.e. backward error propagation, also known as backpropagation, is described briefly and applied to an example problem.<>
  • Keywords
    learning systems; neural nets; artificial neural networks; backpropagation; backward error propagation; learning rule; neural network model; neurons; Artificial neural networks; Biological neural networks; Biology; Chemistry; Machine intelligence; Mathematics; Neural networks; Neurons; Physics; Psychology;
  • fLanguage
    English
  • Journal_Title
    Potentials, IEEE
  • Publisher
    ieee
  • ISSN
    0278-6648
  • Type

    jour

  • DOI
    10.1109/45.84097
  • Filename
    84097