Influence of the Number of the Features with the Neural Network Function
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Date
1996-04
Authors
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Abstract
This contribution is devoted to the evaluation of probability of success for classification and recognition techniques. It also depends on a proper selection of input elements-features and their number. Error probability is proportional indirectly on a quantity and quality of information provided to a classifier. It can be affected either by a learning algorithm itself and classification or by an element number on classification correctuers has been verified for Kohonen's map designed for a recognition of Czech digits.
Description
Citation
Radioengineering. 1996, vol. 5, č. 1, s. 15-18. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/1996/96_01_04.pdf
http://www.radioeng.cz/fulltexts/1996/96_01_04.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en