Дослідження нечітких нейронних мереж у задачах розпізнавання об’єктів електрооптичних зображень

The problem of object recognition in electrooptical images obtained using multispectral optical systems is considered. A fuzzy neural network is suggested for the solution of this problem. Different training algorithms for fuzzy neural network are considered, and the results of experimental investig...

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Bibliographic Details
Date:2009
Main Authors: Zaychenko, Yu. P., Petrosiuk, I. M., Yaroshenko, M. S.
Format: Article
Language:Russian
Published: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2009
Online Access:http://journal.iasa.kpi.ua/article/view/107271
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Journal Title:System research and information technologies

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System research and information technologies
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Summary:The problem of object recognition in electrooptical images obtained using multispectral optical systems is considered. A fuzzy neural network is suggested for the solution of this problem. Different training algorithms for fuzzy neural network are considered, and the results of experimental investigations of their efficiency on the basis of real data are presented.