• DocumentCode
    315234
  • Title

    Principal components via cascades of block-layers

  • Author

    Palmieri, Francesco ; Corvino, Michele

  • Author_Institution
    Dipartimento di Ingegneria Elettronica, Naples Univ., Italy
  • Volume
    2
  • fYear
    1997
  • fDate
    9-12 Jun 1997
  • Firstpage
    1035
  • Abstract
    We study the behaviour of the cascade of linear neural networks having constrained connectivity of Hebbian and anti-Hebbian synapses. We derive a formula for the number of layers necessary to obtain a sufficiently close approximation to the principal components at the final output. Results of simulations confirm the analyses
  • Keywords
    Hebbian learning; multilayer perceptrons; Hebbian synapses; anti-Hebbian synapses; block-layer cascades; constrained connectivity; linear neural network cascade; principal components; Adaptive signal processing; Analytical models; Computational modeling; Computer architecture; Computer networks; Decorrelation; Hardware; Image analysis; Jacobian matrices; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks,1997., International Conference on
  • Conference_Location
    Houston, TX
  • Print_ISBN
    0-7803-4122-8
  • Type

    conf

  • DOI
    10.1109/ICNN.1997.616170
  • Filename
    616170
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=315234