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Titlebook: System Analysis & Intelligent Computing; Theory and Applicati Michael Zgurovsky,Nataliya Pankratova Book 2022 The Editor(s) (if applicable)

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發(fā)表于 2025-3-21 19:06:11 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)System Analysis & Intelligent Computing
副標(biāo)題Theory and Applicati
編輯Michael Zgurovsky,Nataliya Pankratova
視頻videohttp://file.papertrans.cn/885/884419/884419.mp4
概述Presents state-of-the-art research on system analysis and intelligent computing.Covers both the theory and applications.Covers results of 2020 IEEE Second International Conference on System Analysis &
叢書(shū)名稱(chēng)Studies in Computational Intelligence
圖書(shū)封面Titlebook: System Analysis & Intelligent Computing; Theory and Applicati Michael Zgurovsky,Nataliya Pankratova Book 2022 The Editor(s) (if applicable)
描述.The book contains the newest advances related to research and development of complex intellectual systems of various nature, acting under conditions of uncertainty and multifactor risks, intelligent systems for decision-making, high performance computing, state-of-the-art information technologies for needs of science, industry, economy, and environment. The most important problems of sustainable development and global threats estimation, forecast and foresight in tasks of planning and strategic decision-making are investigated. This monograph will be useful to researchers, post-graduates, and advanced students specializing in system analysis, decision-making, strategic planning or engineering design, fundamentals of computational Intelligence, artificial Intelligence systems based on hybrid neural networks, big data, and data mining..
出版日期Book 2022
關(guān)鍵詞Fuzzy Logic Based Decision Support System; System Analysis; Impulse Cognitive Modeling; Convergence Inv
版次1
doihttps://doi.org/10.1007/978-3-030-94910-5
isbn_softcover978-3-030-94912-9
isbn_ebook978-3-030-94910-5Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
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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發(fā)表于 2025-3-21 21:47:36 | 只看該作者
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Book 2022of uncertainty and multifactor risks, intelligent systems for decision-making, high performance computing, state-of-the-art information technologies for needs of science, industry, economy, and environment. The most important problems of sustainable development and global threats estimation, forecas
地板
發(fā)表于 2025-3-22 04:47:34 | 只看該作者
Cyclic Regularities of the Covid-19 Spread and Vaccination Effect on Its Further Reductionation on the further spread of the COVID-19 pandemic has been studied and its likely mitigation in different countries and regions of the world has been predicted. This aspect of the study aims to identify vaccination trends and, on their basis, predict the approximate time horizons of the COVID-19 pandemic in Ukraine and other countries.
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Structure Optimization and Investigations of the Hybrid GMDH-Neo-fuzzy Neural Networks in Forecastind out in the task of forecasting of industrial output index, share prices and NASDAQ index. The forecasting efficiency of the suggested hybrid neo-fuzzy system in macro-economy and financial sphere was estimated, its structure was optimized and sensitivity to variation of tuning parameters was investigated.
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發(fā)表于 2025-3-22 20:18:15 | 只看該作者
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發(fā)表于 2025-3-22 23:31:02 | 只看該作者
The Strategy of Underground Construction Objects Planning Based on Foresight and Cognitive Modellings used, which allows building causal relationships considering a large number of interconnections and interdependencies. The suggested strategy is applied to the study of underground communications in order to select reasonable scenarios for justification of their creation priority.
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發(fā)表于 2025-3-23 05:15:16 | 只看該作者
The Method of Deformed Stars as a Population Algorithm for Global Optimizationunctions. The advantages of the developed method in comparison of genetic algorithms, evolutionary strategies and differential evolution as the most typical evolutionary algorithms were shown. The experiments were conducted using several well-known functions for global optimization (Ackley’s function, Rosenbrock’s saddle, Rastrigin’s function).
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