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This article is cited in 3 scientific papers (total in 3 papers)
Artificial Intelligence, Intelligent Systems, Neural Networks
Methods of complex estimation of cognitive graphic images
Yu. G. Emel'yanovaa, V. P. Fralenkoa, V. M. Khachumovba a Ailamazyan Program Systems Institute of Russian Academy of Sciences
b Institute for Systems Analysis, FRC "Computer Science and Control" of RAS
Abstract:
Methods for evaluating the quality of cognitive graphic images that used in technical control and management systems to support the decision-making of the human operator are explored in the paper. For the first time, a complex assessment of cognitive graphic images as part of interfaces of ground stations of command and measurement systems for aerospace applications was proposed. A comparative assessment of a quality is made for the cognitive images. (In Russian).
Key words and phrases:
cognitive image, interface, ground station, decision making, workplace, intellectual system.
Received: 10.07.2018 Accepted: 13.09.2018
Citation:
Yu. G. Emel'yanova, V. P. Fralenko, V. M. Khachumov, “Methods of complex estimation of cognitive graphic images”, Program Systems: Theory and Applications, 9:3 (2018), 49–63
Linking options:
https://www.mathnet.ru/eng/ps302 https://www.mathnet.ru/eng/ps/v9/i3/p49
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Statistics & downloads: |
Abstract page: | 198 | Full-text PDF : | 99 | References: | 28 |
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