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Використання гіпотези λ-компактності при побудові навчаючої вибірки для прогнозуючих нейромережевих моделей

The problem of forming a qualitative training sample for neural networks in forecasting is solved. The possibility of use the hypothesis of λ-compactness at the step of forming an ensemble of recognizable classes is described. An advanced algorithm of forming a qualitative training sample is offered...

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Bibliographic Details
Date:2019
Main Authors: Krisilov, V. А., Yudin, S. А., Oleshko, D. M.
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/164989
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Journal Title:System research and information technologies

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System research and information technologies

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