By Topic

Neural Network Rule Extraction and the LED Display Recognition Problem

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Setiono, R. ; Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore ; Tanaka, M.

This paper presents the results from a neural network rule extraction algorithm applied to the LED display recognition problem. We show that pruned neural networks with small number of hidden nodes and connections are able to recognize all the 10 digits from 0 to 9. Earlier work by other researchers demonstrated how symbolic fuzzy rules can be extracted from trained neural networks to solve this problem. Our rules in contrast are crisp rules, and they are obtained from smaller networks. As a result, simpler and easier to understand rules are obtained. These rules give us an insight of how neural networks differentiate one digit from the rest in LED display recognition problem.

Published in:

Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International Conference on  (Volume:2 )

Date of Conference:

27-29 Oct. 2010