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Порівняльний аналіз ефективності нечітких нейронних мереж у задачах прогнозування в економіці та фінансовій сфері

Fuzzy neural networks (FNN) with the algorithm of Mamdani, Tsukamoto and Sugeno are considered in the problem of macroeconomic and financial indexes forecasting. The comparative experimental investigations of the FNN with different algorithms are described and the most efficient algorithm for such p...

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Bibliographic Details
Date:2019
Main Authors: Zaychenko, Yu. P., Sevayee, F., Kelestin, Yu. V.
Format: Article
Language:Russian
Published: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2019
Online Access:http://journal.iasa.kpi.ua/article/view/165433
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Journal Title:System research and information technologies

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System research and information technologies

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