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Применение искусственной нейронной сети для рубрикации научных статей по УДК
С. 43-43.
Ломотин К. Е., Romanov A.
In book
Сумы : СумДу, 2016
Romanov A., Lomotin K.E., Kozlova E.S., , in : Supplementary Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2017), Moscow, Russia, July 27-29, 2017. Vol. 1975.: Aachen : CEUR-WS.org, 2017. P. 122-133.
This research examines the problems of automatic scientific articles classification according to Universal Decimal Classifier. To reveal the structure of the train data its visualization was obtained using the recursive feature elimination algorithm. Further; the study provides a comparison of TF-IDF and Weirdness – two statistic-based metrics of keyword significance. The most efficient classification methods ...
Added: November 28, 2017
Karpov I., Kozhevnikov M., Kazorin V. et al., , in : Computational Linguistics and Intellectual Technologies: Proceedings of the Annual International Conference “Dialogue” (2016). : М. : Изд-во РГГУ, 2016. P. 225-236.
This paper provides an alternative method to extracting object-based sentiment in text messages, based on modified method previously proposed by Mingbo [8], in which we first parse the syntax, and then correlate the sentiment with the object of analysis (also referred to as entity by some, therefore, used in this article interchangeably). We show two ...
Added: October 7, 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
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
Филимонова Д. В., Shevgunov T., Ефимов Е. Н., Наукоемкие технологии 2015 № 8 С. 42-47
This paper introduces an approach for implementing maximum likelihood parameter estimators using feedforward artificial neural network of multilayer perceptron architecture. A theoretical foundation of the proposed approach is presented in the assumption that the model of observation is known as well as the values of its vector of parameters. For a practical example the implementation ...
Added: July 6, 2016
Demidovskij A., В кн. : 25 Нижегородская сессия молодых ученых (технические, естественные, гуманитарные науки): материалы тезисов и докладов. : Н. Новгород : НРЛ, 2020. С. 44-45.
The construction of integrated sub-symbolic systems is an important scientific task. The implementation of symbolic rules, such as the aggregation of linguistic assessments in decision-making, played a vital role in creating such systems in the form of neural network architectures. The pre-clade discusses the idea of combining symbolic and sub-symbolic calculation levels for ...
Added: April 2, 2021
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
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
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
Yasnitsky L., М. : ООО "Лаборатория знаний", 2016
Describes the history of establishment of the scientific field of "artificial intelligence", describes the main directions of its development and scope of mapping the three main strategic approaches to creation of intellectual systems: the technology of expert systems, neural network technology and technologies of evolutionary modelling. Theoretical bases and examples of the development of intelligent ...
Added: February 15, 2017
Козлова Е. С., Romanov A., В кн. : Информатика, математика, автоматика: 2016. Материалы научно-технической конференции. : Сумы : СумДу, 2016. С. 42-42.
В рамках исследования используются две меры для выделения ключевых слов в наборе текстов: tf-idf и weirdness (мера странности). В исследовании используется выборка из более чем двадцати двух тысяч научных статей из девяти тем УДК. Задача исследования состояла в выделении оптимального набора слов для быстрой классификации заданного текста. ...
Added: June 11, 2016
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
Yasnitsky L., Киросова А. В., Ратегова А. В. et al., Современные проблемы науки и образования 2014 № 4
A computer program intended for detecting regularities and forecasting the results of men’s 100 m of the World Cup -2015 in track and field athletics is developed. The neural network based on the results of the previous World Cups and the Olympic Games lies in the heart of the program. The error of forecasts is ...
Added: February 20, 2016
Mikhaylevskiy S., Chernyavskiy V., Pavlishen V. et al., , in : 2021 International Seminar on Electron Devices Design and Production (SED). : IEEE, 2021. P. 1-6.
The last decades have witnessed rapid IoT technologies development, which provided ubiquitous human-computer interactions. Building intelligent systems of various types, among which emotion recognition systems, is important challenge nowadays. Especially pressing problem is to build a real-time portable system which can be embedded in low performance hardware. We propose a high accuracy emotion recognition system, ...
Added: August 8, 2021
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
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
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
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
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
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
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
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
Suvorov A., Суворова В. А., Искусственный интеллект и принятие решений 2019 № 1 С. 62-73
The article considers the process of building an intrusion detection system using intelligent
network traffic analysis. The requirements for the developed system of intrusion detection are formulated,
as well as its architecture is proposed. As a mechanism for making decisions about the presence
of attacks, it is suggested to use methods of inductive machine learning, namely, artificial neural ...
Added: April 1, 2019
Порошина Агата Максимовна, Динамика сложных систем 2012 Т. 6 № 4 С. 83-88
This paper analysis the application of artificial neural networks to tackle the problem of credit risk evaluation. They help to classify borrowers according its credit risk and to develop effective credit scorings systems on consumer credit market. We provide analysis related works, which based on using neural networks to credit risk modeling. The article emphasizes ...
Added: January 18, 2013