年間 12 号発行
ISSN 印刷: 1064-2315
ISSN オンライン: 2163-9337
Indexed in
Learning Decision Making Support System for Control of Nonstationary Technological Process
要約
The algorithm of the time-spatial parameters optimization of functioning information-extreme decision making support system for control of nonstationary technological process is considered. Determination of boundaries of quasi-stationary time intervals of weakly formalized process observation using normalized statistics for occurrence of values of recognition features in appropriative receptive fields is proposed.
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Antsaklis P.J., Passino K.M., An introduction to intelligent and autonomous control, Kluwer Academic Publishers, Norwell, Massachusetts, USA, 1992.
-
Bhagat P., Pattern recognition in industry, Elsevier Science, Amsterdam, Netherlands, 2005.
-
Moskalenko V.V. Dovbysh A.S., Rizhova A.S., Intellectual automated control system with optimization of time parameters of input data analysis, Visnyk Sumskogo derzhavnogo universytetu, 2013, No. 3, 7–14.
-
Lecoeuche S., Mercere G., Amadou-Boubacar H., Modeling of nonstationary systems based on a dynamical decision space, 14-th IFAC Symposium on System Identification, Newcastle, Australia, Elsevier Science, 2006, 1222–1227.
-
Dovbysh A.S., Foundation of design of intellectual system: Textbook, Sumy State University, Ukraine, 2009.
-
Korobov Artem, Moskalenko Alena, Nahornyi Volodymyr, Zavgorodnya Julia, Berest Oleg, Zhurba Vyacheslav, Parameters Optimization Method of the Information-Extreme Object Recognition System on the Terrain, 2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC), 2018. Crossref