IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v253y1998i1p38-56.html
   My bibliography  Save this article

Categorization in a layered neural network

Author

Listed:
  • Martins, J.A.
  • Theumann, W.K.

Abstract

The layered feedforward network of Domany, Meir and Kinzel is extended to investigate the ability to recognize any one of a macroscopic number of concepts (ancestors) when the network is trained through a finite number of examples (descendents) of each concept, by means of a generalized Hebbian learning rule between cells on two consecutive layers. Learning curves describing the generalization error are obtained, as well as phase diagrams and basins of attraction that exhibit the possible coexistence of a generalization phase, a retrieval phase of examples and a spin-glass phase.

Suggested Citation

  • Martins, J.A. & Theumann, W.K., 1998. "Categorization in a layered neural network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 253(1), pages 38-56.
    • Handle: RePEc:eee:phsmap:v:253:y:1998:i:1:p:38-56
    DOI: 10.1016/S0378-4371(97)00689-4
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437197006894
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/S0378-4371(97)00689-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:253:y:1998:i:1:p:38-56. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.