Output details
11 - Computer Science and Informatics
University of Ulster
Article title
Sensitivity-based Adaptive Learning Rules for Binary Feedforward Neural Networks
Type
D - Journal article
Title of journal
IEEE Transactions on Neural Networks and Learning Systems
Article number
-
Volume number
23
Issue number
3
First page of article
480
ISSN of journal
2162-237X
Year of publication
2012
Number of additional authors
3
Additional information
<24>In neural networks, the sensitivity-based approach developed in this paper is a new paradigm. This work is partially supported by the Natural Science Foundation of China (project title: Sensitivity-based Feed-forward Neural Networks; reference number: 60971088, January 2010 - December 2012. Xiaoqin Zeng from Hohai University, China was the principal investigator, and the funding award supported two research collaboration visits between Hohai and Ulster.
Interdisciplinary
-
Cross-referral requested
-
Research group
A - Artificial Intelligence and Applications
Citation count
3
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
