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Abstrakty
The problem of “reshaping” the fundamental education of navigators in the conditions of intensive development of modern computer mathematics, intelligent technologies and high-performance computing is considered. The main attention is paid to the formation of the information-educational environment that provides intellectual support for the trainee. Examples of the use of intelligent technologies that contribute to the organization of the learning process as a creative process of building knowledge are presented.
Rocznik
Tom
Strony
123--127
Opis fizyczny
Bibliogr. 24 poz., rys.
Twórcy
autor
- Baltic Fishing Fleet State Academy, Kaliningrad, Russia
autor
- Baltic Fishing Fleet State Academy, Kaliningrad, Russia
autor
- Baltic Fishing Fleet State Academy, Kaliningrad, Russia
autor
- Baltic Fishing Fleet State Academy, Kaliningrad, Russia
Bibliografia
- 1. Bondarev V.A., Volkogon V.A., Nechaev Yu.I. Conceptual basis for controlling marine disasters “Current issues of design, construction and operation of ships and constructions ", Sevastopol. 2016, pp.28 - 46.
- 2. Bondarev V.A., Nechaev Yu.I. Artificial Intelligence in Emergencies seafaring - St. Petersburg: Art Express, 2017. - 336 p.
- 3. Bellman R., Zade L. Decision Making in Vague Conditions. - M .: Mir, 1976. - 46 p.
- 4. Barsegyan AA, Kupriyanov M.S. Stepanenko V.V., Kholod I.I. Methods and models of data analysis: OLAP and Data Mining. - St. Petersburg. BHV-Petersburg, 2004. – 336 p.
- 5. Kolmogorov A.N. Information theory and theory of algorithms. - M .: Science, 1987. - 304 p.
- 6. Krasovsky, A.A., Naumov, A.I. Analytical theory of selforganizing control systems with a high level of artificial intelligence // Izv. RAS. Theory and control systems. 2001. No. 1, pp. 69–75.
- 7. Cook D., Bass G. Computer Mathematics. - M .: Science. 1990. – 272 p.
- 8. Moiseev N.N. Selected Works, M. Tairex Co., 2003. - 376 p
- 9. Neurocomputers in intellectual technologies of the XXI century. - M .: Radio engineering, 2011. – 352 p.
- 10. Nechaev Yu.I. Catastrophe theory: a modern approach to decision making. - St. Petersburg: Art-Express, 2011. - 392 p.. Petersburg: Art Express, 2015. - 325 p.
- 11. RF patent №2310237 dated 10.11.2007. Intellectual learning system / Nechaev Yu.I. and etc.
- 12. RF Patent No. 2356100 dated May 20, 2009. Method of rating testing in higher education institution / Nechaev Yu.I. and etc.
- 13. Saaty T. Decision Making with Dependencies and Feedback. - I .: LKI, 2008. - 369 p.
- 14. Systems of artificial intelligence in intellectual technologies of the XXI century. - St. Petersburg: Art Express, 2011. - 376 p.
- 15. Solodovnikov V.V., Tumarkin V.I. The theory of complexity and design of control systems. - M .: Science, 1990. - 341 p.
- 16. Tikhonov A.N., Arsenin V.Ya. Methods for solving incorrect problems. M .: Nauka, 1986.– 285p.
- 17. Haken G. Information and self-organization. Macroscopic approach to complex systems. -M .: Kom Kniga, 2005.– 419 p.
- 18. Figueira G., Almada-Lobo B. Hybrid simulation – optimization methods: A taxonomy and discussion // Simulation Modeling Practice and Theory. - 2014. - V. 46. - P. 118–134.
- 19. Foster I., Zhao Y., Raicu I., Lu S. Cloud Computing and Grid Computing 360-Degree Compared// eprint arXiv: 0901.0131, 2008 [Electronic resource]: http://arxiv.org/ftp/arxiv/papers/0901/0901.0131.pdf
- 20. Lublinsky B. Defining SOA as an architectural style. 9 January 2007. [Electronic resource]: http://www.ibm.com/ developerworks/architecture/library/ar–soastyle/
- 21. Szalay A. Extreme data-intensive scientific computing // Computing in Science & Engineering. 2011. - V. 13. - №. 6. - p. 34-41.
- 22. Urgent Computing Workshop 2007. Argonne National Lab, University of Chicago, April 25-26, 2007.
- 23. Wille R. Restructuring lattice theory / ordered sets / editor I.Rival. - Dordrecht-Boston, 1982.R. 314 - 339.
- 24. Zadeh L. Fuzzy logic, neural networks and soft computing // Software on ASM-1994. Vol.37. №3, рр.77– 84.
Uwagi
W oryginale błędna numeracja bibliografii. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8af82782-20eb-4012-9ff9-35533c975bad