Keywords: decision-making system, multiparameter monitoring, forecasting, database, knowledge base, fuzzy neural network
SOFTWARE IMPLEMENTATION INTELLIGENT SYSTEMS DECISION-MAKING WHEN MANAGING NUCLEAR ENERGY FACILITIES
UDC 004: 681.5
DOI: 10.26102/2310-6018/2019.24.1.018
The work is devoted to the development of the software complex of the intellectual decision-making system in the problems of management of the processes of functioning of nuclear power facilities. It is shown that the construction of the software complex requires the choice of structure based on the analysis of the tasks assigned to the software. Taking into account the developed mathematical software, implemented in the form of a set of mathematical models that allow to analyze data by processing the input information, and algorithms that perform the formation of the system structure, its optimization and ensure its operation, the following main functions were identified and implemented: the formation of a regression model depending on the input information flow of informative data; the formation of a neural network structure depending on the input information flow of data; configuration of system parameters in order to ensure the required quality of its functioning; visual display of information about the quality of the software; providing data storage in an accessible and easy to understand form; providing storage of configurable system parameters and their dynamics in the learning process ANFISlike neural network model. The proposed engineering solutions have improved the quality of decision-making due to the efficiency and reliability of the processed information, as well as by reducing the overall error of the forecast.
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Keywords: decision-making system, multiparameter monitoring, forecasting, database, knowledge base, fuzzy neural network
For citation: Povarov V.P. SOFTWARE IMPLEMENTATION INTELLIGENT SYSTEMS DECISION-MAKING WHEN MANAGING NUCLEAR ENERGY FACILITIES. Modeling, Optimization and Information Technology. 2019;7(1). URL: https://moit.vivt.ru/wp-content/uploads/2019/01/Povarov_1_19_1.pdf DOI: 10.26102/2310-6018/2019.24.1.018 (In Russ).
Published 31.03.2019