Каскадні нейро-нечіткі мережі в задачах прогнозування на ринках цінних паперів

A forecasting problem at the stock exchange is considered. For its solution the application of a cascade neo-fuzzy neural network (CNFNN) is suggested. The architecture of the neo-fuzzy neuron and architecture of CNFNN is presented. Training algorithms of CNFNN in packet mode and on-line are describ...

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Bibliographic Details
Date:2017
Main Authors: Zaychenko, Yuriy P., Hamidov, Galib
Format: Article
Language:Russian
Published: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2017
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Online Access:http://journal.iasa.kpi.ua/article/view/108823
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Journal Title:System research and information technologies

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System research and information technologies

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