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Порівняльний аналіз нейро-нечітких систем класифікації електрооптичних зображень в умовах інформаційної невизначеності

A comparative analysis of neuro-fuzzy algorithms is performed and their performance in classification of electrooptical images in an uncertain environment is investigated. Classification algorithms based on Kohonen, ANFIS, NEFCLASS neuro-fuzzy nets have been considered, and their comparison analysis...

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Bibliographic Details
Date:2019
Main Authors: Petrosyuk, I. M., Zaichenko, Yu. P.
Format: Article
Language:Ukrainian
Published: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2019
Online Access:http://journal.iasa.kpi.ua/article/view/165167
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Journal Title:System research and information technologies

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System research and information technologies

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