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Оптимізація параметрів навчання інтелектуальної системи керування летючою пилою

Authors: Panych, Andrii Oleksandrovych; Berest, Oleh Borysovych;

Оптимізація параметрів навчання інтелектуальної системи керування летючою пилою

Abstract

Розглядається категорійна модель та інформаційно-екстремальний алгоритм навчання системи підтримки прийняття рішень для керування летючою пилою. Розроблено у процесі навчання вирішальні правила, які дозволили підвищити точність різання довговимірних матеріалів, що рухаються. При цитуванні документа, використовуйте посилання http://essuir.sumdu.edu.ua/handle/123456789/24350 Рассматривается категориальная модель и информационно-экстремальный алгоритм обучения системы поддержки принятия решения для управления летучей пилой. В процессе обучения были разработаны решающие правила, которые позволили увеличить точность резания долгомерных движущихся материалов. При цитировании документа, используйте ссылку http://essuir.sumdu.edu.ua/handle/123456789/24350 Сategorical model and information-extreme learning algorithm of the decision making support system for flying saw control are under consideration. Decision rules were developed during the learning process, that let to increase the cutting precision of long-size moving materials. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/24350

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Keywords

інформаційно-екстремальний алгоритм, learning, летюча пила, обучение, навчання, летучая пила, оптимизация, flying saw, decision making support system, 620, информационно-экстремальный алгоритм, оптимізація, система поддержки принятия решения, optimization, система підтримки прийняття рішень, informationextreme algorithm

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green