This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
||||||||
|
Paper Details
Paper Title
Behaviour of Multilayer Feed Forward Networks on Multidisciplinary Data
Authors
  Syed Aamiruddin
Abstract
- The fact that the signature is widely used as a means of personal verification emphasizes the need for an automatic verification system. Verification can be performed either Offline or Online based on the application. Online systems use dynamic information of a signature captured at the time the signature is made. Offline -signatures using a set of simple shape based geometric features. And applied Multilayer feed forward networks on multidisciplinary data including signatures for results.
Keywords- Artificial Neural Networks. Hidden layers, Generalized Delta rule, Offline Signature Verification
Publication Details
Unique Identification Number - IJEDR1503021Page Number(s) - Pubished in - Volume 3 | Issue 3 | July 2015DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Syed Aamiruddin,   "Behaviour of Multilayer Feed Forward Networks on Multidisciplinary Data", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 3, pp., July 2015, Available at :http://www.ijedr.org/papers/IJEDR1503021.pdf
Article Preview
|
|
||||||
|