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Расширение спектра задач решаемых интеллектуальной СППР за счет разработки модуля работы с нечеткой информацией
С. 56-58.
Bukharov O.
In book
М. : МИЭМ НИУ ВШЭ, 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, 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
Oleg Bukharov, Dmitry Bogolyubov, Fedorov V. et al., , in : Managing Intellectual Capital and Innovation for Sustainable and Inclusive Society. : Lublin : ToKnowPress, 2015. Ch. H4. P. 251-256.
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. ...
Added: June 12, 2015
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
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., 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
Kuzminov I., Meissner D., Lavrynenko A. S. et al., / Высшая школа экономики. Series WP BRP "Science, Technology and Innovation". 2018. No. 78/STI/2018.
The paper analyses problems associated with technologies classification for the purposes of futures studies, in order to ensure definitive inclusion of technologies in specific classes/types when conventional approaches to classification are applied. The evolution of classification approaches in the scope of science philosophy is shortly reviewed, together with the latest research on expert-based and computerised ...
Added: January 22, 2018
Demidovskij A., Babkin E., Нейрокомпьютеры: разработка, применение 2021 Т. 23 № 2 С. 5-14
The construction of integrated sub-symbolic systems is considered to be an important scientific direction where the expression of symbolic rules in the form of a neural network plays a key role. At the same time, there is an actual task of creating neural architec- tures for solving complex intellectual tasks without preliminary testing for modeling ...
Added: June 8, 2021
Петровский Д. В., Соболевский В. А., Логистика и управление цепями поставок 2018 № 3(86) С. 86-93
This article deals with the problem of input data generating for the creation and training of an artificial neural network, which is the basis of the classification module of a dynamic monitoring system of the manufacture performance indexes. The input data that was used to train the neural network was divided into the following categories: ...
Added: October 2, 2018
Glukhoded E., Smetanin S., Proceedings of the Institute for System Programming of the RAS 2016 Vol. 28 No. 3 P. 7-20
The concept of Z-numbers introduced by Zade in 2011 is discussed topically nowadays due to it aptitude to deal with nonlinearities and uncertainties whose are common in real life. It was a large step of representing fuzzy logic, however that numbers created much larger problems of how to calculate them or aggregate multiple numbers of ...
Added: November 23, 2018
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
Demidovskij A., Babkin E., Информационно-управляющие системы 2021 № 5 С. 40-50
Introduction: The construction of integrated neurosymbolic systems is an urgent and challenging task. Building neurosymbolic decision support systems requires new approaches to represent knowledge about a problem situation and to express symbolic reasoning at the subsymbolic level. Purpose: Development of neural network architectures and methods for effective distributed knowledge representation and subsymbolic reasoning in decision support systems in ...
Added: November 3, 2021
Suvorov A., Суворова В. А., В кн. : Искусственный интеллект в решении актуальных социальных и экономических проблем XXI века: Сборник статей по материалам Второй всероссийской научно-практической конференции, проводимой в рамках Пермского естественнонаучного форума «Математика и глобальные вызовы XXI века» (16-17 мая 2017 г,) г. Пермь). : Пермь : Издательский центр Пермского государственного национального исследовательского университета, 2017. С. 129-135.
The article describes the development of a neural network for the detection and classification of network attacks. The paper estimated the importance of the input parameters of compounds, represents built a neural network with a full and reduced set of parameters, depicts a completed comparative analysis of their performance. The result is the optimal model ...
Added: January 23, 2019
Romanyuk K., , in : SAI Intelligent Systems Conference 2015 (IntelliSys 2015). : L. : IEEE, 2015. P. 105-111.
Loan provision is associated with a credit risk. Banks assess the creditworthiness of potential borrowers to lower a credit risk. Creditworthiness assessment is carried out by credit scoring methods. Most of these methods classify individuals into two categories: `good' or `bad' creditworthiness. Decision support system for loan granting based on these methods fail to differentiate ...
Added: November 19, 2017
Seletkov I. P., Yasnitsky L., , in : Advances in Intelligent Systems and Computing. Vol. 850: Digital Science.: Switzerland : Springer, 2019. P. 443-449.
The article deals with the problem of creating a temperature regulator,
which does not require preliminary tuning for a specific production plant.
Authors proposed to use a matrix approach of fuzzy logic for this purpose. It
allows engineers to apply the linguistic rules formulated in the most general
form for industrial processes control. It also allows building simple control
algorithms ...
Added: January 10, 2019
Romanov A., Lomotin K.E., Kozlova E.S. et al., , in : 2016 International Siberian Conference on Control and Communications (SIBCON). Proceedings. : M. : HSE, 2016. Ch. 543fu4t.
In this work realization of automatic scientific articles classification according to Universal Decimal Classifier is presented. Efficiency of neural networks technologies application for current task is researched, and optimal neural network structure and parameters are offered ...
Added: June 11, 2016
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
Арьков В. Ю., Sharipova A., Нейрокомпьютеры: разработка, применение 2013 № 3 С. 63-67
Рассматривается задача оптимизации инвестиционной стратегии на базе индикаторов технического анализа с применением методов искусственного интеллекта. Предложен критерий робастности для поиска оптимальных параметров инвестиционной стратегии. ...
Added: October 17, 2020
Nosovskiy M.M., Degtiarev K.Y., Proceedings of the Institute for System Programming of the RAS 2019 Vol. 31 No. 3 P. 99-122
E-commerce is a runaway activity growing at an unprecedented rate all over the world and drawing millions of people from different spots on the globe. At the same time, e-commerce affords ground for malicious behavior that becomes a subject of principal concern. One way to minimize this threat is to use reputation systems for trust ...
Added: September 13, 2019
Springer, 2020
The book presents a remarkable collection of chapters covering a wide range of topics in the areas of intelligent systems and artificial intelligence, and their real-world applications. It gathers the proceedings of the Intelligent Systems Conference 2019, which attracted a total of 546 submissions from pioneering researchers, scientists, industrial engineers, and students from all around ...
Added: September 9, 2019
Sidorenko V., Чжо М. А., Электроника и электрооборудование транспорта 2016 № 6 С. 13-16
This paper analyzes the different approaches to the technical maintenance of electric subway trains based on the safety of complex transport systems. The results were obtained from using the genetic algorithm. ...
Added: January 12, 2017
Tsaregorodtsev A. V., Мырова Л. О., Михайлов В. А. et al., Технологии электромагнитной совместимости 2012 № 2 С. 79-89
Analysis of existing approaches to the use of intelligent methods for solving the problem of destructive electromagnetic effects’ detection is performed. It is proposed to use an intelligent systems based on neural networks integrated with the means of fuzzy logic to detect the destructive electromagnetic effects on infocommunication system. Such approach will take into account ...
Added: March 17, 2014
Kaufering : b-Quadrat Verlag, 2015
Added: February 28, 2016
Гершкович В. А., Falikman M., Российский журнал когнитивной науки 2018 Т. 5 № 4 С. 28-46
The paper briefly introduces the history of cognitive psychology from its emergence in the 1950s until the present. The unique contribution of cognitive psychology to psychological science is discussed. The main lines of cognitive psychology criticism and self-criticism are outlined: they include the single representational format in the information processing system, the limited resources of ...
Added: February 2, 2020