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ENTROPY CLASSIFICATION
Beljakova Daria Gennadevna1, Zakharova Oksana Igorevna2
1Volga Region State University of Telecommunications and Informatics, Student, Faculty of Information Systems and Technologies
2Volga Region State University of Telecommunications and Informatics, PhD in Technical Science, Assistant Professor of the Information Systems and Technologies Department
1Volga Region State University of Telecommunications and Informatics, Student, Faculty of Information Systems and Technologies
2Volga Region State University of Telecommunications and Informatics, PhD in Technical Science, Assistant Professor of the Information Systems and Technologies Department
Abstract
This article deals with the concept of entropy and its features. The necessity of a quantitative description of the uncertainties specified probability distribution. The article also discusses the main features of the entropy function of the examples with a priori probability values sets.
Keywords: entropy, information theory, priori system uncertainty, probability distribution, quantifying uncertainty, system uncertainty, uncertainty of a random object
Category: 01.00.00 Physics and mathematics
Article reference:
Entropy classification // Modern scientific researches and innovations. 2017. № 1 [Electronic journal]. URL: https://web.snauka.ru/en/issues/2017/01/76808
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