• DocumentCode
    1842884
  • Title

    Delta learning law for a single neuron

  • Author

    Murthy, B.V.S.

  • Author_Institution
    Dept. of Civil Eng., Indian Inst. of Technol., Madras, India
  • Volume
    3
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    1779
  • Abstract
    In this paper we have suggested a modification to the delta learning law. The modification is essentially the addition of terms having higher order derivatives to the term containing the first order derivative in the conventional delta leaning law. Faster convergence is achieved in the experiments conducted on the XOR problem
  • Keywords
    convergence; feedforward neural nets; learning (artificial intelligence); multilayer perceptrons; MLFFNN; XOR problem; convergence; delta learning law; first-order derivative; high-order derivatives; multilayer feedforward neural network; neuron; Civil engineering; Convergence; Feedforward neural networks; Joining processes; Logic functions; Multi-layer neural network; Neural networks; Neurons; Pattern classification; Search methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1999. IJCNN '99. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-5529-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.1999.832647
  • Filename
    832647
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1842884