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Application of intellectual DSS to medium-term forecasting of the sea ice area in the Northern Hemisphere
Ch. H4. P. 251-256.
Oleg Bukharov, Dmitry Bogolyubov, Fedorov V., Grebennikov P.
The paper is devoted to the description of a new multi-purpose intellectual decision support system. We present the algorithms used and the results achieved in applying the system to analyzing and forecasting the sea ice area in the Northern Hemisphere. The impact of solar radiation on the changes in the sea ice area was confirmed. Application of interval neural nets to medium-term forecasting of sea ice area changes was justified.
In book
Lublin : ToKnowPress, 2015
Oleg E. Bukharov, Dmitry P. Bogolyubov, Expert Systems with Applications 2015 Vol. 42 No. 15-16 P. 6177-6183
Given ever increasing information volume and complexity of engineering, social and economic systems, it has become more difficult to assess incoming data and manage such systems properly. Currently developed innovative decision support systems (DSS) aim to achieve optimum results while minimizing the risks of serious losses. The purpose of the DSS is to help the ...
Added: May 17, 2015
Bukharov O., В кн. : Научно-техническая конференция студентов, аспирантов и молодых специалистов НИУ ВШЭ им. Е.В. Арменского. Материалы конференции. : М. : МИЭМ НИУ ВШЭ, 2015. С. 37-38.
В работе описывается разработанная интеллектуальная система поддержки принятия решений. Описаны результаты, достигнутые благодаря применению данной системы для анализа и прогнозирования площади морских льдов в Северном полушарии. ...
Added: February 14, 2015
Bukharov O., Bogolyubov D., Федоров В. М. et al., Криосфера Земли 2016 № 3 С. 43-50
The medium-term forecasting of the sea ice extent has been carried out by determining of the relationship between incoming solar radiation and the sea ice extent in the Northern Hemisphere. Different methods of the statistic and neural modeling have been used. Forecast shows that the main factor determining the variation of the maximum and minimum ...
Added: August 18, 2016
Bukharov O., В кн. : Научно-техническая конференция студентов, аспирантов и молодых специалистов НИУ ВШЭ им. Е.В. Арменского. Материалы конференции. : М. : МИЭМ НИУ ВШЭ, 2016. С. 56-58.
В работе описывается разработанная интеллектуальная система поддержки принятия решений (СППР). Рассмотрена проблема обработки нечеткой информации. Приведено описание разработанного модуля работы с нечеткими переменными, расширяющего область применения разработанной СППР. ...
Added: March 7, 2016
Bukharov O., Bogolyubov D., Приборы и системы. Управление, контроль, диагностика 2018 № 1 С. 25-33
In this paper author suggests a new hybrid decision support system for operation with a class of semistructured tasks with underdetermined variables. Author defined the general tasks of prediction and estimation for a class of semistructured tasks. Use of interval neural networks and genetic algorithms for such tasks is justified. Author developed the algorithm to ...
Added: February 9, 2018
Bukharov O., В кн. : Электронный бизнес. Управление интернет-проектами. Инновации: Сборник трудов участников VII студенческой научно-практической конференции. Москва, 11–13 марта 2015 г. : М. : Национальный исследовательский университет "Высшая школа экономики", 2015. С. 141-145.
The paper is devoted to the description of an intellectual decision support system. We present the algorithms used and the results achieved in applying the system to credit screening tasks. ...
Added: July 3, 2015
Bukharov O., Bogolyubov D., Системный администратор 2014 № 9 С. 88-92
This paper describes aspects of development of decision support system based on neural networks and a genetic algorithm. We justify the use of general-purpose computing on graphics processing units (GPGPU) for our decision support system. Example of CUDA successful application to increase computing performance of the system in question is presented. ...
Added: September 12, 2014
ЭВОЛЮЦИОННАЯ МОДЕЛЬ ВЫБОРА ОПТИМАЛЬНЫХ РЕШЕНИЙ ДЛЯ ПРОТИВОДЕЙСТВИЯ РАЗВИТИЮ ИНФЕКЦИОННЫХ ЗАБОЛЕВАНИЙ
Bolotova L. S., Сорокин А. Б., В кн. : Проблемы безопасности и чрезвычайных ситуаций. Вып. 4.: М. : ВИНИТИ РАН, 2014. Гл. 12. С. 91-110.
In this work, in order of development of the previously proposed decision support system to counteract the development of infectious diseases (DSS «CDID») it is proposed evolutionary model (EM), that extends the capabilities of forecast – analytical studies on the spread of infectious disease processes for individual cities and areas of the country as a ...
Added: November 14, 2014
Bukharov O., В кн. : Межвузовская научно-техническая конференция студентов, аспирантов и молодых специалистов им. Е.В. Арменского. : М. : МИЭМ НИУ ВШЭ, 2017. С. 50-51.
В работе рассматривается проблема прогнозирования площади морских льдов Северного полушария. Описывается разработанная интеллектуальная система поддержки принятия решений (СППР). Приведено описание разработанных алгоритмов работы с недоопределенными интервальными данными и нечеткой информацией. Приведены результаты прогнозирования достигнутые разработанной системой. ...
Added: March 12, 2017
Desmond D.K. Attadjei, Yash Madhwal, Peter B. Panfilov, International Journal of Engineering & Technology (UAE) 2018 Vol. 7 No. 2.28 P. 157-159
A powerful and effective store network administration sites, a smooth running of a business, quality items or potential benefits, consequently escalating client trust and business picks up. To land at this phase in an association's business outgrowth all rely upon the best choices that must be taken to move the correct way. These choices are ...
Added: July 25, 2018
Babkina T. S., Demidovskij A., Babkin E., International Journal of Big Data Intelligence 2018 Vol. 5 No. 3 P. 143-155
This paper presents two new approaches to solving a classical NP-hard problem of maximum clique problem (MCP), which frequently arises in the domain of information management, including design of database structures and big data processing. In our research, we are focusing on solving that problem using the paradigm of artificial neural networks. The first approach ...
Added: October 3, 2018
Lezhnev E., Amerikanov A., Glukhikh A. et al., В кн. : Научно-техническая конференция студентов, аспирантов и молодых специалистов НИУ ВШЭ им. Е.В. Арменского. Материалы конференции. : М. : МИЭМ НИУ ВШЭ, 2015. С. 58-58.
В данной работе рассматривается возможность при-менения генетического алгоритма и нейронных сетей для реализации алгоритмов передвижения робота, способных корректно вести себя в нестандартной обстановке и изме-няющихся условиях функционирования. ...
Added: February 15, 2015
Kravchenko T. K., Бизнес-информатика 2011 № 4 С. 16-23
In the paper an approach to identification of characteristics for assessment of IT strategic decisions is proposed. The main feature of the approach is associated with integration of Balanced Scorecard methodology for IT service (IT Balanced Scorecard) and COBIT standard. Such integration allows to describe a hierarchical structure of characteristics (metrics) for assessment of decisions ...
Added: November 21, 2012
Т.К. Богданова, Д.Ю.Неклюдов, О.М. Уварова, Бизнес-информатика 2018 Т. 43 № 1 С. 39-49
The market of telecommunications services is one of the most important and promising sectors of Russian economics, and its development has an essential impact on development strategies of all industries. In recent times, we observe a tendency for the operators’ business to shift from providing communications services to supplying integrated ICT services. A positive trend ...
Added: January 31, 2019
Kravchenko T. K., Аудит и финансовый анализ 2013 № 5 С. 352-357
At present analytical justification of strategic decisions of leasing companies are quite rare in occurrence. The main reason is the lack of market of special software products – decision support systems (DSS), which may be applied for deliberate decision making. At present the most common are decision support systems that use methods advanced by Thomas ...
Added: November 12, 2013
Мультисекторная модель ограниченного соседства: сегрегация агентов и оптимизация характеристик среды
Akopov A. S., Бекларян Л. А., Beklaryan A., Математическое моделирование 2021 Т. 33 № 11 С. 95-114
This article presents an approach to studying the effects of segregation using the developed multi-sector bounded-neighbourhood model. A model of the evolutionary dynamics of a community consisting of a local (natives) and external population (migrants) interacting in an artificial socio-economic system is proposed, in which the key sectors of the economy are highlighted: mining of ...
Added: November 2, 2021
Savchenko A., Milov V., Optical Memory and Neural Networks (Information Optics) 2016 Vol. 25 No. 2 P. 79-87
Decision support in equipment condition monitoring systems with image processing is analyzed. Long-run accumulation of information about earlier made decisions is used to realize the adaptiveness of the proposed approach. It is shown that unlike conventional classification problems, the recognition of abnormalities uses training samples supplemented with reward estimates of earlier decisions and can be ...
Added: July 10, 2016
Bukharov O., Mizikin A. A., Bogolyubov D., Промышленные АСУ и контроллеры 2013 № 7 С. 37-45
In this article we ground some advantages of the evolutionary approach to the solution of problems of decision support system development. The most popular methods of forecasting and detection of dependences are considered. Advantages of use of neural networks to forecast and to determine of dependences between parameters of systems are given. Advantages of interval ...
Added: November 29, 2013
Babash A. V., Микрюков А. А., Сизов В. А., Открытое образование 2019 № 23(1) С. 57-63
При решении сложных задач классификации зачастую ни один из используемых алгоритмов классификации не обеспечивает требуемой точности.В таких случаях строят композиции алгоритмов, в которых ошибки отдельных алгоритмов взаимно компенсируются. Рассматривается применение нейросетевого ансамбля для решения
задач классификации событий безопасности в корпоративной информационной системе. Представлен краткий обзор существующих подходов к построению нейросетевых ансамблей и методов формирования решений задач, в которых используются нейросетевые классификаторы. ...
Added: February 22, 2020
Lychkina N. N., В кн. : Управленческие науки в современном мире. Т. II. Кн. 2.: Финансовый университет при Правительстве РФ, 2014. С. 396-400.
The report discusses the paradigm of simulation - system dynamics, agent-based modeling, and composite mix of dynamic models in the enterprise ...
Added: June 1, 2014
Чжо М. А., Sidorenko V., Электроника и электрооборудование транспорта 2017 № 6 С. 37-40
This paper is a part of continuation publications on the topic of genetic algorithms application to the scheduling of underground rolling stock maintenance. The authors implemented the adaptive crossover selection algorithms within the genetic algorithm framework according to the features of the scheduling problem. Then the authors investigated the possibilities of genetic algorithm by using ...
Added: January 16, 2018
Method of calculating Lyapunov exponents for time series using artificial neural networks committees
Dmitrieva L., Smetanin N., Kuperin Y. et al., Days on Diffraction (DD) 2016 P. 127-132
The aim of this work is to develop a method for calculating all Lyapunov exponents from time series with high accuracy. To achieve this goal we propose a new method for determining the local and global Lyapunov exponents for a given time series. A special feature of the proposed method is the use of neural ...
Added: August 23, 2017
Akopov A. S., Beklaryan A., Khachatryan N. et al., Информационные технологии 2018 Т. 24 № 5 С. 321-329
This article presents a new approach to developing an adaptive genetic optimization algorithm (MAGAMO/A) using agent modeling techniques. The peculiarity of this approach is the support of the mechanism of adaptive control of key characteristics of GA, in particular, the values of the probabilities of crossover operators and mutations, their types and other important characteristics ...
Added: May 11, 2018