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Titlebook: Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems; Ivan Zelinka,Ponnuthurai Nagaratnam Suganthan,Otto Conference proc

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書目名稱Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems
編輯Ivan Zelinka,Ponnuthurai Nagaratnam Suganthan,Otto
視頻videohttp://file.papertrans.cn/669/668209/668209.mp4
概述Recent research on modern methods of prediction, modeling and analysis of complex systems.Proceedings of the 2014 International Nostradamus conference on modern methods of prediction, modeling and ana
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems;  Ivan Zelinka,Ponnuthurai Nagaratnam Suganthan,Otto Conference proc
描述.The prediction of behavior of complex systems, analysis and modeling of its structure is a vitally important problem in engineering, economy and generally in science today. Examples of such systems can be seen in the world around us (including our bodies) and of course in almost every scientific discipline including such “exotic” domains as the earth’s atmosphere, turbulent fluids, economics (exchange rate and stock markets), population growth, physics (control of plasma), information flow in social networks and its dynamics, chemistry and complex networks. To understand such complex dynamics, which often exhibit strange behavior, and to use it in research or industrial applications, it is paramount to create its models. For this purpose there exists a rich spectrum of methods, from classical such as ARMA models or Box Jenkins method to modern ones like evolutionary computation, neural networks, fuzzy logic, geometry, deterministic chaos amongst others..This proceedings book is a collection of accepted papers of the Nostradamus conference that has been held in Ostrava, Czech Republic in June 2014. This book also includes outstanding keynote lectures by distinguished guest speakers
出版日期Conference proceedings 2014
關(guān)鍵詞Complex Systems; Intelligent Systems; Nonlinear Systems; Nostradamus 2014; Prediction and Modeling; Soft
版次1
doihttps://doi.org/10.1007/978-3-319-07401-6
isbn_softcover978-3-319-07400-9
isbn_ebook978-3-319-07401-6Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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Estimation of Fractal Dimension and Statistical Tools for Surface Evaluation, purpose, samples with structured surfaces produced with different technologies and properties were measured and evaluated with many types of parameters. The parameters were compared and a selection of the results is presented in this article.
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Analytic Programming Powered by Chaotic Dynamics, algorithms are differential evolution, SOMA, particle swarm, simulated annealing and evolutionary strategies. All of them are mutually used in scheme Master-Slave meta-evolution for final complex structure fitting and its parameter estimation.
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Scheduling the Flowshop with Zero Intermediate Storage Using Chaotic Discrete Artificial Bee Algori the total flowtime criterion. Based on the obtained results and statistical analysis, it is shown that a number of chaos driven algorithms significantly performed better than the Mersenne Twister variant.
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Conference proceedings 2014rally in science today. Examples of such systems can be seen in the world around us (including our bodies) and of course in almost every scientific discipline including such “exotic” domains as the earth’s atmosphere, turbulent fluids, economics (exchange rate and stock markets), population growth,
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