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Title: Implementation of intelligent forecasting subsystem of real-time
Other Titles: Реализация интеллектуальной подсистемы прогнозирования реального времени
Authors: Eremeev, A.
Kozhukhov, A.
Guliakina, N.
Еремеев, А.
Кожухов, А.
Гулякина, Н.
Keywords: материалы конференций
artificial intelligence
intelligent system
real time
reinforcement learning
decision support
anytime algorithm
Issue Date: 2019
Publisher: БГУИР
Citation: Eremeev, A. Implementation of intelligent forecasting subsystem of real-time / A. Eremeev, A. Kozhukhov, N. Guliakina // Открытые семантические технологии проектирования интеллектуальных систем = Open Semantic Technologies for Intelligent Systems (OSTIS-2019) : материалы международной научно-технической конференции, Минск, 21 - 23 февраля 2019 г. / Белорусский государственный университет информатики и радиоэлектроники; редкол.: В. В. Голенков (гл. ред.) [и др.]. - Минск, 2019. - С. 201 - 204.
Abstract: The paper describes architecture of intelligent forecasting subsystem of real-time based on multiagent temporal differences reinforcement learning, statistical module and monitoring module with milestone anytime algorithm. Analysis of anytime algorithms were made in terms of using into the forecasting subsystem type of intelligent decision support system of real-time for improving performance and reducing response and execution time. The considered tools can be used to implement the possibility of self-learning and adaptation both in the intelligent systems of real-time created on their basis, and in the actual tools for creating such systems. The work was supported by BRFFR projects 17-07-00553 a, 18-51-00007 Bel a, F16R-102.
Appears in Collections:OSTIS-2019

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