MURAL - Maynooth University Research Archive Library

    A novel pattern classification scheme using the Baker's map

    Rogers, Alan and Keating, John and Shorten, Robert N. (2003) A novel pattern classification scheme using the Baker's map. Neurocomputing, 55. pp. 779-786.

    [img] Download (431kB)

    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...

    Add this article to your Mendeley library


    We demonstrate a novel application of nonlinear systems in the design of pattern classi!cation systems. We show that pattern classi!cation systems can be designed based upon training algorithms designed to control the qualitative behaviour of a nonlinear system. Our paradigm is illustrated by means of a simple chaotic system—the Baker’s map. Algorithms for training the system are presented and examples are given to illustrate the operation and learning of the system for pattern classifcation tasks.

    Item Type: Article
    Keywords: Pattern classification; Chaos Baker's map; Lyapunov dimension;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 214
    Depositing User: Alan Rogers
    Date Deposited: 04 Apr 2005
    Journal or Publication Title: Neurocomputing
    Publisher: Elsevier
    Refereed: Yes
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

      Repository Staff Only(login required)

      View Item Item control page


      Downloads per month over past year

      Origin of downloads