{"id":4717,"date":"2021-03-12T14:23:57","date_gmt":"2021-03-12T12:23:57","guid":{"rendered":"http:\/\/journals.khnu.km.ua\/vestnik\/?p=4717"},"modified":"2021-03-16T12:36:57","modified_gmt":"2021-03-16T10:36:57","slug":"%d1%96%d0%bd%d1%84%d0%be%d1%80%d0%bc%d0%b0%d1%86%d1%96%d0%b9%d0%bd%d0%b0-%d1%82%d0%b5%d1%85%d0%bd%d0%be%d0%bb%d0%be%d0%b3%d1%96%d1%8f-%d1%96%d0%bd%d1%82%d0%b5%d0%bb%d0%b5%d0%ba%d1%82%d1%83%d0%b0%d0%bb","status":"publish","type":"post","link":"https:\/\/journals.khnu.km.ua\/vestnik\/?p=4717","title":{"rendered":"\u0406\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0456\u0439\u043d\u0430 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0456\u044f \u0456\u043d\u0442\u0435\u043b\u0435\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u043e\u0457 \u043e\u0431\u0440\u043e\u0431\u043a\u0438 \u0442\u0430 \u0430\u043d\u0430\u043b\u0456\u0437\u0443 \u0432\u0435\u043b\u0438\u043a\u0438\u0445 \u0434\u0430\u043d\u0438\u0445"},"content":{"rendered":"

<\/p>\n

\u0406\u041d\u0424\u041e\u0420\u041c\u0410\u0426\u0406\u0419\u041d\u0410 \u0422\u0415\u0425\u041d\u041e\u041b\u041e\u0413\u0406\u042f \u0406\u041d\u0422\u0415\u041b\u0415\u041a\u0422\u0423\u0410\u041b\u042c\u041d\u041e\u0407 \u041e\u0411\u0420\u041e\u0411\u041a\u0418 \u0422\u0410 \u0410\u041d\u0410\u041b\u0406\u0417\u0423 \u0412\u0415\u041b\u0418\u041a\u0418\u0425 \u0414\u0410\u041d\u0418\u0425<\/p>\n

INFORMATION TECHNOLOGY OF INTELLIGENT PROCESSING AND ANALYSIS BIG DATA<\/p>\n

\"\"<\/a> \u0421\u0442\u043e\u0440\u0456\u043d\u043a\u0438: 120-125. \u041d\u043e\u043c\u0435\u0440: \u21165, 2020 (289)<\/strong>
\n\u0410\u0432\u0442\u043e\u0440\u0438:<\/strong>
\n\u041c.\u041f. \u041a\u041e\u041c\u0410\u0420
\n\u0417\u0430\u0445\u0456\u0434\u043d\u043e\u0443\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0438\u0439 \u043d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442
\nM.P. KOMAR
\nWest Ukrainian National University, Ternopil, Ukraine
\nDOI:<\/strong> https:\/\/www.doi.org\/10.31891\/2307-5732-2020-289-5-120-125<\/a>
\n\u0420\u0435\u0446\u0435\u043d\u0437\u0456\u044f\/Peer review :<\/strong> 14.11.2020 \u0440.
\n\u041d\u0430\u0434\u0440\u0443\u043a\u043e\u0432\u0430\u043d\u0430\/Printed :<\/strong> 27.11.2020 \u0440.<\/p>\n

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\u0420\u043e\u0437\u0448\u0438\u0440\u0435\u043d\u0430 \u0430\u043d\u043e\u0442\u0430\u0446\u0456\u044f \u0430\u043d\u0433\u043b\u0456\u0439\u0441\u044c\u043a\u043e\u044e \u043c\u043e\u0432\u043e\u044e<\/strong><\/p>\n

The methodology for creating intelligent systems for processing and analyzing big data in conditions of uncertainty, incompleteness and vagueness of information developed in the article, based on the use of the following principles: horizontal scalability, fault tolerance, data locality, resistance to data errors, adaptability, evolution.\u00a0The proposed principles are the basis for the development of models and methods of intelligent processing and analysis of big data: the method of recovering missing data, which creates additional data values based on functional dependencies and association rules and adds these values to existing training data; the method of decision-making in the operation of the system on the basis of fuzzy logic, which provides autonomous operation of the process of processing and analysis of large data without any user intervention; a method of learning deep neural networks based on the combination of genetic algorithm and neural network to find the optimal parameters of the neural network; method of parallel learning of deep neural networks based on the division of the training sample into sub-samples and parallel training of each sub-sample on a separate copy of the neural network model. For information support of the offered models and methods the information technology of intellectual processing and the analysis of big data is developed. The proposed technology is implemented within the intelligent system of big data processing and analysis. Research on the results of the application of the developed system is proposed to be conducted on the basis of forecasting the results of football matches.
\nKeywords:<\/strong> information technology, intelligent system, big data processing and analysis, deep neural network, fuzzy logic, genetic algorithm, parallel learning, forecasting.<\/p>\n

References<\/strong><\/p>\n

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