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Titlebook: Computational Intelligence and Informatics; Principles and Pract Imre J. Rudas,János Fodor,Janusz Kacprzyk Book 2010 Springer Berlin Heidel

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Strategie und Personalmanagementowadays: indeed, intuitively operated systems are currently under intensive research. Intelligent Space (or iSpace) based systems are good examples: they strive to be comfortable and easy to use, even without demanding technical knowledge from their users. However, their aim is not limited to this:
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Portefeuille-Theorie und Kapitalmarkttheoriern based-design solutions is offered. The solutions deal with model predictive control, fuzzy control, adaptive control and combined control solutions between different control strategies and structures. Digital simulation and experimental results are presented accepting different modifications of the reference input or disturbances.
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發(fā)表于 2025-3-31 01:37:31 | 只看該作者
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56#
發(fā)表于 2025-3-31 08:28:39 | 只看該作者
Imre J. Rudas,János Fodor,Janusz KacprzykState of the art of Computational Intelligence in Engineering.Carefully edited outcome of the 10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics held N
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發(fā)表于 2025-3-31 11:56:16 | 只看該作者
Studies in Computational Intelligencehttp://image.papertrans.cn/c/image/232496.jpg
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發(fā)表于 2025-3-31 16:58:35 | 只看該作者
,Congestion Forecast – A Societal Opportunity,f economy and finances deeply depends on the technological service provided. Legal and institutional solutions target in the first line data privacy requirements. Finally, the most attractive solution is outlined.
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3D-Based Internet Communication and Control,echatronical and industrial robot systems even in continental distances. In this paper we introduce a virtual laboratory which provides a suitable environment for distant institutions’ laboratories for a close collaboration.
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發(fā)表于 2025-3-31 23:26:48 | 只看該作者
Comparative Investigation of Various Evolutionary and Memetic Algorithms, exploit the advantages of both methods. Our current research aims to discover the properties, especially the efficiency (i.e. the speed of convergence) of particular evolutionary and memetic algorithms. For this purpose the techniques are compared on several numerical optimization benchmark functions and on machine learning problems.
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