Open AccessSoftware designed for fitness club client’s requirements management automation
Author(s) -
Sergei Kurashkin,
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V. V. Bukhtoyarov,
А. Н. Бочаров,
Alexander V. Lavrishchev,
Yuriy Seregin,
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Publication year - 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.47813/dnit-mip5/2022-3091-18-25
Subject(s) - computer science , automation , identification (biology) , software , artificial neural network , set (abstract data type) , software engineering , software development , artificial intelligence , engineering , mechanical engineering , botany , biology , programming language
The growth in the amount of information, as well as the expansion of the range of technically complex decision-making problems, require the systematization of existing methods and the development of new methods and algorithms for solving. Artificial neural networks offer promising prospects for development, and software has a huge advantage from their use. In addition, each realizable problem has an unlimited and non-standard̆ set of solution methods. In this paper, we consider the possibility of using a neural network to solve the problem of optimizing data analysis to manage the needs of clients of a fitness club. The main objectives of the research are: an overview of the subject area; identification of deficiencies and setting automation tasks; performing a comparative analysis of existing information systems and performing a comparative analysis of existing software.