DEVELOPMENT OF A MATRIX AND ALGORITHM SELECTION OF RANDOM SITUATIONS FOR TRAINING SIMULATORS (in Russian)

Expert systems can be defined as computer programs, whose main task is to simulate a human expert, usually in a narrow field of expertise. Possible applications of modern information technology are very extensive, ranging from medicine, geology and technology to applications in the field of economic...

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Main Authors: Victor NORDIN, Andrey UZHGA
Format: Article
Language:English
Published: P.A. NOVA S.A. 2014-01-01
Series:Management Systems in Production Engineering
Subjects:
Online Access:http://wydawnictwo.panova.pl/pliki/2014_01_01.pdf
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spelling doaj-88da627f379d4722abd65d0257442db82020-11-24T23:23:21ZengP.A. NOVA S.A.Management Systems in Production Engineering2299-04612014-01-011315910.12914/MSPE‐01‐01‐2014DEVELOPMENT OF A MATRIX AND ALGORITHM SELECTION OF RANDOM SITUATIONS FOR TRAINING SIMULATORS (in Russian)Victor NORDIN0Andrey UZHGA1Immanuel Kant Baltic Federal University Kaliningrad, RUSSIAImmanuel Kant Baltic Federal University Kaliningrad, RUSSIAExpert systems can be defined as computer programs, whose main task is to simulate a human expert, usually in a narrow field of expertise. Possible applications of modern information technology are very extensive, ranging from medicine, geology and technology to applications in the field of economic and financial decision support. The purpose of this paper is to present the practical application of an expert system that supports the process of managing the production of yachts and has a high suitability for use in this application. Using the expert system described in the paper reduces the time during the design and production preparation process.http://wydawnictwo.panova.pl/pliki/2014_01_01.pdfexpert systemsinformation technologiesproduction of yacht
collection DOAJ
language English
format Article
sources DOAJ
author Victor NORDIN
Andrey UZHGA
spellingShingle Victor NORDIN
Andrey UZHGA
DEVELOPMENT OF A MATRIX AND ALGORITHM SELECTION OF RANDOM SITUATIONS FOR TRAINING SIMULATORS (in Russian)
Management Systems in Production Engineering
expert systems
information technologies
production of yacht
author_facet Victor NORDIN
Andrey UZHGA
author_sort Victor NORDIN
title DEVELOPMENT OF A MATRIX AND ALGORITHM SELECTION OF RANDOM SITUATIONS FOR TRAINING SIMULATORS (in Russian)
title_short DEVELOPMENT OF A MATRIX AND ALGORITHM SELECTION OF RANDOM SITUATIONS FOR TRAINING SIMULATORS (in Russian)
title_full DEVELOPMENT OF A MATRIX AND ALGORITHM SELECTION OF RANDOM SITUATIONS FOR TRAINING SIMULATORS (in Russian)
title_fullStr DEVELOPMENT OF A MATRIX AND ALGORITHM SELECTION OF RANDOM SITUATIONS FOR TRAINING SIMULATORS (in Russian)
title_full_unstemmed DEVELOPMENT OF A MATRIX AND ALGORITHM SELECTION OF RANDOM SITUATIONS FOR TRAINING SIMULATORS (in Russian)
title_sort development of a matrix and algorithm selection of random situations for training simulators (in russian)
publisher P.A. NOVA S.A.
series Management Systems in Production Engineering
issn 2299-0461
publishDate 2014-01-01
description Expert systems can be defined as computer programs, whose main task is to simulate a human expert, usually in a narrow field of expertise. Possible applications of modern information technology are very extensive, ranging from medicine, geology and technology to applications in the field of economic and financial decision support. The purpose of this paper is to present the practical application of an expert system that supports the process of managing the production of yachts and has a high suitability for use in this application. Using the expert system described in the paper reduces the time during the design and production preparation process.
topic expert systems
information technologies
production of yacht
url http://wydawnictwo.panova.pl/pliki/2014_01_01.pdf
work_keys_str_mv AT victornordin developmentofamatrixandalgorithmselectionofrandomsituationsfortrainingsimulatorsinrussian
AT andreyuzhga developmentofamatrixandalgorithmselectionofrandomsituationsfortrainingsimulatorsinrussian
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