Self-generation ART-1 neural network with gradient-descent method aid for Latin alphabet recognition.(artificial)(Technical report): An article from: Journal of Computer Science
Book Details
Author(s)Mbaitiga Zacharie
PublisherScience Publications
ISBN / ASINB002S1WRBE
ISBN-13978B002S1WRB9
AvailabilityAvailable for download now
MarketplaceUnited States 🇺🇸
Description
This digital document is an article from Journal of Computer Science, published by Science Publications on August 1, 2008. The length of the article is 4874 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.
From the author: Keywords: ART-1, binary input vector, character recognition, Latin alphabet
Citation Details
Title: Self-generation ART-1 neural network with gradient-descent method aid for Latin alphabet recognition.(artificial)(Technical report)
Author: Mbaitiga Zacharie
Publication:Journal of Computer Science (Magazine/Journal)
Date: August 1, 2008
Publisher: Science Publications
Volume: 4 Issue: 8 Page: 631(7)
Article Type: Technical report
Distributed by Gale, a part of Cengage Learning
From the author: Keywords: ART-1, binary input vector, character recognition, Latin alphabet
Citation Details
Title: Self-generation ART-1 neural network with gradient-descent method aid for Latin alphabet recognition.(artificial)(Technical report)
Author: Mbaitiga Zacharie
Publication:Journal of Computer Science (Magazine/Journal)
Date: August 1, 2008
Publisher: Science Publications
Volume: 4 Issue: 8 Page: 631(7)
Article Type: Technical report
Distributed by Gale, a part of Cengage Learning
