• DocumentCode
    2831751
  • Title

    The cross propagation training algorithm and associated architecture

  • Author

    Gray, D.L. ; Michel, A.N.

  • Author_Institution
    Dept. of Eng., Purdue Univ. Calumet, Hammond, IN, USA
  • fYear
    1991
  • fDate
    11-14 Jun 1991
  • Firstpage
    1485
  • Abstract
    A novel training algorithm, called the cross propagation method (CPM), to implement binary-to-binary mappings on a four-layer perceptron-like network, is presented. The perceptron architecture is introduced, followed by further modifications to obtain a completed architecture for the cross propagation method with a four-layer structure. The associated training algorithm is called the cross propagation algorithm and is derived from some original principles of Boolean algebra followed by selected extensions. The algorithm has three modes of operations available to the user for training
  • Keywords
    Boolean algebra; learning systems; neural nets; Boolean algebra; binary-to-binary mappings; cross propagation training algorithm; four-layer perceptron-like network; perceptron architecture; Analog-digital conversion; Boolean algebra; Convergence; Intelligent networks; Neural networks; Neurofeedback; Neurons; Propagation losses; Quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1991., IEEE International Sympoisum on
  • Print_ISBN
    0-7803-0050-5
  • Type

    conf

  • DOI
    10.1109/ISCAS.1991.176656
  • Filename
    176656