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派博传思国际中心 »期刊书目

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Titlebook: Recent Research in Control Engineering and Decision Making; Volume 2, 2020 Olga Dolinina,Igor Bessmertny,Vadim Zhmud Conference proceedings

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发表于 2025-3-21 17:18:52 | 显示全部楼层 |阅读模式
书目名称Recent Research in Control Engineering and Decision Making
副标题Volume 2, 2020
编辑Olga Dolinina,Igor Bessmertny,Vadim Zhmud
视频video
概述Presents new approaches and methods of solving problems in the field of control engineering & decision making for the various application fields.Constitutes the full papers developed on the base of th
丛书名称Studies in Systems, Decision and Control
图书封面Titlebook: Recent Research in Control Engineering and Decision Making; Volume 2, 2020 Olga Dolinina,Igor Bessmertny,Vadim Zhmud Conference proceedings
描述.This book constitutes the full research papers and short monographs developed on the base of the refereed proceedings of the International Conference: Information and Communication Technologies for Research and Industry (ICIT 2020). ..The book brings accepted research papers which present mathematical modelling, innovative approaches and methods of solving problems in the sphere of control engineering and decision making for the various fields of studies: industry and research, energy efficiency and  sustainability, ontology-based data simulation, theory and use of digital signal processing, cognitive systems, robotics, cybernetics, automation control theory, image and sound processing, image recognition, technologies, and computer vision. The book contains also several analytical reviews on using smart city technologies in Russia..The central audience of the book are researchers, industrial practitioners and students from the following areas: Adaptive Systems, Human–Robot Interaction, Artificial Intelligence, Smart City and Internet of Things, Information Systems, Mathematical Modelling, and the Information Sciences..
出版日期Conference proceedings 2021
关键词Control Engineering; Decision Making; Automated Control; Artificial Intelligence; Knowledge Representati
版次1
doihttps://doi.org/10.1007/978-3-030-65283-8
isbn_softcover978-3-030-65285-2
isbn_ebook978-3-030-65283-8Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Comparison of LSTM and GRU Recurrent Neural Network Architecturesprovided. The article includes description of software implementation of recurrent neural networks. As a result of research the numerical comparison of training and solving time is provided, and practical hints and conclusions are derived.
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Comparison of Methods for Parameter Estimating of Superimposed Sinusoidspopular methods described in IEEE-STD-1057, which presents algorithms for estimating the wave signal parameters from its noisy discrete time counts and with classic spectrum estimation method Periodogram is presented.
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A Transformation-Based Approach for Fuzzy Knowledge Bases Engineeringystem (KBDS) that implements the proposed method. Our approach was used for prototyping a knowledge base for predicting degradation processes of technical systems in the petrochemical industry, in this case we developed the software module for transformation of Ishikawa diagrams that account fuzzy and uncertainty factors.
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