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Title: Мультиагентная система прогноза состояния рудничной атмосферы
Authors: Федоров, Евгений Евгеньевич
Дикова, Юлия Леонидовна
Keywords: mine atmosphere
centralized multi-agent system
artificial neural network
Issue Date: 22-May-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 system will increase the accuracy of the forecast of the mine atmosphere charasteristic values by 10%, and the probability of the mine atmosphere condition forecast by 7%
ISSN: 978-966-02-7928-5
Appears in Collections:Наукові праці співробітників кафедри комп'ютерних наук

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