Influence of the Number of the Features with the Neural Network Function

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...

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Main Authors:	P. Bores, J. Tuckova
Format:	Article
Language:	English
Published:	Spolecnost pro radioelektronicke inzenyrstvi 1996-04-01
Series:	Radioengineering
Online Access:	http://www.radioeng.cz/fulltexts/1996/96_01_04.pdf

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spelling	doaj-7888ba6acfd64a4c8335288a83c9ca912020-11-25T02:44:56ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25121996-04-0151Influence of the Number of the Features with the Neural Network FunctionP. BoresJ. TuckovaThis 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.www.radioeng.cz/fulltexts/1996/96_01_04.pdf
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	P. Bores J. Tuckova
spellingShingle	P. Bores J. Tuckova Influence of the Number of the Features with the Neural Network Function Radioengineering
author_facet	P. Bores J. Tuckova
author_sort	P. Bores
title	Influence of the Number of the Features with the Neural Network Function
title_short	Influence of the Number of the Features with the Neural Network Function
title_full	Influence of the Number of the Features with the Neural Network Function
title_fullStr	Influence of the Number of the Features with the Neural Network Function
title_full_unstemmed	Influence of the Number of the Features with the Neural Network Function
title_sort	influence of the number of the features with the neural network function
publisher	Spolecnost pro radioelektronicke inzenyrstvi
series	Radioengineering
issn	1210-2512
publishDate	1996-04-01
description	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.
url	http://www.radioeng.cz/fulltexts/1996/96_01_04.pdf
work_keys_str_mv	AT pbores influenceofthenumberofthefeatureswiththeneuralnetworkfunction AT jtuckova influenceofthenumberofthefeatureswiththeneuralnetworkfunction
_version_	1724765087527337984

Influence of the Number of the Features with the Neural Network Function

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