Please use this identifier to cite or link to this item: https://ea.donntu.edu.ua/jspui/handle/123456789/28279
Title: Мультиагентная система прогноза состояния рудничной атмосферы
Authors: Федоров, Евгений Евгеньевич
Дикова, Юлия Леонидовна
Keywords: mine atmosphere
centralized multi-agent system
artifical neural network
NARMA
Issue Date: 2016
Publisher: Труды международной конференции "Моделирование 2016". Киев, 25-27 мая 2016
Abstract: The article is considered a centralized multi-agent system prediction of mine atmosphere, consisting of a main agent and a set of subordinate agents, the interaction between them is based on the FIPA-Subscribe Protocol. The basis of the main agent is an ANN of high order, the basis of subordinate agents is ANN NARMA. The proposed approach to the construction of multi-agent systems will increase the accuracy of the forecast of the mine atmosphere characteristic values by 10%, and the probability of the mine atmosphere condition forecast by 7%
URI: http://ea.donntu.edu.ua/jspui/handle/123456789/28279
Appears in Collections:Наукові публікації кафедри комп'ютерної інженерії

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