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 |
Files in This Item:
File | Description | Size | Format | |
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16-fedorov-dikova-SIM.pdf | 444,44 kB | Adobe PDF | View/Open |
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