Распараллеленная самообучающаяся система поддержки принятия решений на генетических алгоритмах и нейронных сетях
Системный администратор. 2014. № 9. С. 88-92.
Bukharov O., Bogolyubov D.
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.
Research target: Computer Science
Priority areas: IT and mathematics business informatics
, , 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
, , , 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
, , , Промышленные АСУ и контроллеры 2012 № 10 С. 30-35
In this article we introduce a CUDA-based implementation of Kohonen self-organizing map. We describe software implementation and test results confirming performance growth with increasing size of neural network comparative to serial version of algorithm. ...
Added: February 13, 2013
, 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
Control system for ecological modernization of enterprises (on the example of the Republic of Armenia)
, , et al., Business Informatics 2016 No. 2(36) P. 71-78
The article examines a system for controlling the ecological modernization dynamics of enterprises developed with the help of simulation modelling methods and implemented using the example of the Republic of Armenia (RA). The system has been developed for strategic decision-making directed at modernization of enterprises of RA, their transformation from an initial non-ecological state towards ...
Added: July 1, 2016
, Journal of Physics: Conference Series 2016 Vol. 681 No. 1 P. 012048-1-012048-6
We present results on integration of two major GPGPU APIs with reactor-based event processing model in C++ that utilizes coroutines. With current lack of universally usable GPGPU programming interface that gives optimal performance and debates about the style of implementing asynchronous computing in C++, we present a working implementation that allows a uniform and seamless ...
Added: February 3, 2016
, , RUDN Journal of Mathematics, Information Sciences and Physics 2014 No. 4 P. 68-84
Low-cost gaze tracking systems are in great demand due to their wide range of application. Commonly, extra devices are needed (for instance, head mounted cameras); however, in this investigation gaze tracking is performed in real-time based on the video stream from an infrared video camera. A comparative analysis of the existing analogues was executed and ...
Added: December 7, 2014
Библиотека PRAND: генерация параллельных потоков случайных чисел для расчетов Монте-Карло с использованием GPU
, , Cuda Альманах 2014 № 3 С. 17-17
Libraries RNGSSELIB и PRAND for the parallel generation of pseudo-random numbers in Monte Carlo simulations was developed. RNGSSELIB library contains realization based on the SSE extensionin the modern CPU, and PRAND library contains the generators using CUDA version 5.0 and later. ...
Added: March 10, 2016
, Вестник Московского государственного технического университета им. Н.Э. Баумана. Серия Естественные науки 2013 № 1 (48) С. 50-60
An approach is described to implementation of the Method of Four Russians for reducing the dense matrices over GF(2) to row echelon form using the NVIDIA CUDA platform. Estimates of the algorithm running time and recommendations on choosing the algorithm parameters are given. It is shown that the developed implementation is most effective in comparison ...
Added: April 1, 2013
, Прикладная информатика 2017 Т. 12 № 1 (67) С. 102-113
Problem statement: solutions analytical justification by using a decision support system (DSS) significantly increases the quality of decisions. The existing DSS generally employs methods analytic hierarchy process and analytical networks. It does not always lead to the desired results as each method is based on certain assumptions and is not universal. The creation of the ...
Added: June 28, 2017
Analysis of multicriteria choice problems by methods of the theory of criteria importance, based on computer systems of decision-making support
, Journal of Computer and Systems Sciences International 2008 Vol. 47 No. 2 P. 221-225
A set of interrelated methods is presented for analyzing multicriteria decision-making problems on the basis of an information on the criteria importance and change of the preferences along their scales. Computer systems of decision-making support, implementing these methods within the methodology of progressive adequate modeling of preferences are briefly described. The paper is based on ...
Added: February 9, 2010
Интеллектуальные системы: Труды Десятого Международного симпозиума (Россия, г. Вологда, 25 июня - 29 июня 2012 г.)
М. : РУСАКИ, 2012
В трудах представлены материалы пленарных и секционных докладов участников Десятого международного симпозиума "Интеллектуальные системы". Материалы, представленные в трудах симпозиума, отражают актуальные проблемы использования достижений в области управления, информационных технологий и вычислительной техники при разработке, создании и внедрении нового поколения систем обработки информации и управления - интеллектуальных систем. Приводятся результаты современного состояния исследований, тенденции и перспективы развития ...
Added: March 20, 2013
, 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
Разработка и применение комплексных нейросетевых моделей массовой оценки и прогнозирования стоимости жилых объектов на примере рынков недвижимости Екатеринбурга и Перми
, Имущественные отношения в Российской Федерации 2017 Т. 186 № 3 С. 68-84
Developed complex economic and mathematical models of mass valuation of residential real estate of cities of Yekaterinburg and Perm, which take into account both construction and operating parameters of the apartments, and the changing economic situation in the country and the world. Study models showed that the increase in new housing in Yekaterinburg, 4% in ...
Added: December 12, 2017
, , International Journal of Pure and Applied Mathematics 2011 Vol. 71 No. 1 P. 105-127
This research work deals with the problem formulation of control of complex organizational structures. The mechanism of functioning of such systems is described by example of a vertically integrated company (VIC). The problems of strategic and operative control of VIC are considered. The methods for solving such problems based on genetic algorithms and neural networks ...
Added: October 1, 2012
Method of calculating Lyapunov exponents for time series using artificial neural networks committees
, , 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
, Аудит и финансовый анализ 2010 № 3 С. 310-317
In work the developed model of adaptive management by the vertically integrated companies based on the system approach supporting the mechanism of an operational management in a uniform cycle of strategic planning, within the limits of faster time is presented. Thus for a finding of optimum values of operating parameters special algorithms of a class ...
Added: September 28, 2012
Parallel multi-agent real-coded genetic algorithm for large-scale black-box single-objective optimisation
, , et al., Knowledge-Based Systems 2019 Vol. 174 P. 103-122
There is an ongoing evolution involving a new approach to large-scale optimisations based on co-evolutionary searches using interacting heterogeneous agent-processes via the implementation of synchronised genetic algorithms with local populations. The individualisation of heuristic operators at the level of agent-processes that implement independent evolutionary searches facilitate the improved likelihood of obtaining the best solutions in ...
Added: April 18, 2019
Pattern recognition and increasing of the computational efficiency of a parallel realization of the probabilistic neural network with homogeneity testing
, Optical Memory and Neural Networks (Information Optics) 2013 Vol. 22 No. 3 P. 184-192
The research subject is the computational complexity of the probabilistic neural network (PNN) in the pattern recognition problem for large model databases. We examined the following methods of increasing the efficiency of a neuralnetwork classifier: a parallel multithread realization, reducing the PNN to a criterion with testing of homogeneity of feature histograms of input and ...
Added: September 10, 2013
Интеллектуальные системы в науке и технике. Искусственный интеллект в решении актуальных социальных и экономических проблем ХХI века
, Пермь : Пермский государственный национальный исследовательский университет. – Электронные данные. , 2020
The collection contains materials from the international conference "Intelligent systems in science and technology" and the Sixth all-Russian scientific and practical conference "Artificial intelligence in solving urgent social and economic problems of the XXI century", which was held on October 12-18, 2020 in Perm as part of the Perm natural science forum "Mathematics and global ...
Added: December 4, 2020
Application of intellectual DSS to medium-term forecasting of the sea ice area in the Northern Hemisphere
, , 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
The Adaptive Approach to Abnormal Situations Recognition Using Images from Condition Monitoring Systems
, , 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
, , 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