By Topic

Comparison of supervised and unsupervised discriminator-based logic neural networks

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
$33 $33
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

1 Author(s)
G. Tambouratzis ; Dept. of Math., Agricultural Univ. of Athens

A self-organising discriminator-based logic neural network is compared to the similarly-structured supervised WISARD neural network on the basis of their performance in a pattern recognition task. The self-organising system is shown to possess a superior performance in learning environments where the training patterns have a high degree of variability

Published in:

Electronics Letters  (Volume:30 ,  Issue: 3 )