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Journal of Automation and Information Sciences

Erscheint 12 Ausgaben pro Jahr

ISSN Druckformat: 1064-2315

ISSN Online: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

Learning Decision Making Support System for Control of Nonstationary Technological Process

Volumen 48, Ausgabe 6, 2016, pp. 39-48
DOI: 10.1615/JAutomatInfScien.v48.i6.40
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ABSTRAKT

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.

REFERENZEN
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  2. Bhagat P., Pattern recognition in industry, Elsevier Science, Amsterdam, Netherlands, 2005.

  3. 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.

  4. 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.

  5. Dovbysh A.S., Foundation of design of intellectual system: Textbook, Sumy State University, Ukraine, 2009.

REFERENZIERT VON
  1. 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

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