Реєстраційний номер
2121U009175, Матеріали видань та локальних репозитаріїв
Категорія
Стаття
Назва роботи
Dynamic Stock Buffer Management Method Based on Linguistic Constructions
Автор
Fedorov Eugene
Nechyporenko Olga
Федоров Євген Євгенович
Нечипоренко Ольга Володимирівна
Fedorov Eugene
Nechyporenko Olga
Fedorov Yevhen Yevhenovych
Nechyporenko Olha Volodymyrivna
Дата публікації
01-01-2021
Постачальник інформації
Черкаський державний технологічний університет
Першоджерело
https://er.chdtu.edu.ua/handle/ChSTU/3445
Видання
CEUR Workshop Proceedings
Опис
The paper proposes a dynamic stock buffer management method based on linguistic
constructions. The novelty of the research lies in the fact that a control system based on fuzzy
logic and linguistic constructions was created for the dynamic stock buffer management and
two artificial neuro-fuzzy network models were created. Three criteria for evaluating the
effectiveness were selected and the parameters of the proposed models were identified based
on the backpropagation algorithm in batch mode and the genetic algorithm, which are
oriented on the parallel information processing technology. The proposed models and
procedures for their parametric identification make it possible to increase the speed, accuracy
and reliability of decision making. The proposed dynamic stock buffer management method
based on linguistic constructions can be used in various intelligent systems that exercise
control in natural language.
Додано/оновлено в НРАТ
2026-04-27
