Share and Export
Share and Export
Rogers, Alan, Keating, John and Shorten, Robert N. (2003) A novel pattern classification scheme using the Baker's map. Neurocomputing, 55. pp. 779-786.
![[thumbnail of neuro.pdf]](https://mural.maynoothuniversity.ie/style/images/fileicons/application_pdf.png "neuro.pdf")
PDF
neuro.pdf
Download (431kB)
Abstract
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 |
| URI: | https://mural.maynoothuniversity.ie/id/eprint/214 |
| 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)
- Item control page
Downloads
Downloads per month over past year
