By Topic

A practical neural network for handwritten character recognition built by dynamics-based active learning and self-organization of feedback mechanism

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)
Natori, N. ; Neural Syst. Toshiba Lab., RWCP, Kanagawa, Japan ; Nishimura, K.

A feedback mechanism which enhances similarity between recognition by a human and that by an artificial neural network we have proposed is introduced. A human may turn his attention to a particular portion of the object in order to classify it successfully. It is regarded as a feedback from the first rough classification to the final one. The proposed feedback mechanism is designed to simulate such attention. The recognition rates by a neural network with the feedback mechanism exceed those by a former neural network

Published in:

Neural Networks, 1995. Proceedings., IEEE International Conference on  (Volume:6 )

Date of Conference:

Nov/Dec 1995