Referenced Items are not available for this document.
An analog neural network for support vector machine learning is proposed, based on a partially dual formulation of the quadratic programming problem. It results in a simpler circuit implementation with respect to existing neural solutions for the same application. The effectiveness of the proposed network is shown through some computer simulations concerning benchmark problems
Published in:
Neural Networks, IEEE Transactions on
(Volume:17
,
Issue:
4
)
Date of Publication: July 2006
- Page(s):
- 1085 - 1091
- ISSN :
- 1045-9227
- INSPEC Accession Number:
- 8984932
- Digital Object Identifier :
- 10.1109/TNN.2006.875967
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 21 August 2006
- Issue Date :
- July 2006
- Sponsored by :
- IEEE Computational Intelligence Society
- PubMed ID :
- 16856671
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
