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Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering : An Approach Based on Symmetry and Similarity / / by Jaime Nava, Vladik Kreinovich



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Autore: Nava Jaime Visualizza persona
Titolo: Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering : An Approach Based on Symmetry and Similarity / / by Jaime Nava, Vladik Kreinovich Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015
Edizione: 1st ed. 2015.
Descrizione fisica: 1 online resource (160 p.)
Disciplina: 006.3
620
629.8
Soggetto topico: Computational intelligence
Artificial intelligence
Control engineering
Computational Intelligence
Artificial Intelligence
Control and Systems Theory
Persona (resp. second.): KreinovichVladik
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Introduction: Symmetries and Similarities as a Methodology for Algorithmics of Analysis, Prediction, and Control in Science and Engineering.- Algorithmic Aspects of Real-Life Systems Analysis: Approach Based on Symmetry and Simila -- Algorithmic Aspects of Prediction: An Approach Based on Symmetry and Similarity -- Algorithmic Aspects of Control: Approach Based on Symmetry and Similarity -- Possible Ideas for FutureWork.
Sommario/riassunto: This book demonstrates how to describe and analyze a system's behavior and extract the desired prediction and control algorithms from this analysis. A typical prediction is based on observing similar situations in the past, knowing the outcomes of these past situations, and expecting that the future outcome of the current situation will be similar to these past observed outcomes. In mathematical terms, similarity corresponds to symmetry, and similarity of outcomes to invariance.   This book shows how symmetries can be used in all classes of algorithmic problems of sciences and engineering: from analysis to prediction to control. Applications cover chemistry, geosciences, intelligent control, neural networks, quantum physics, and thermal physics. Specifically, it is shown how the approach based on symmetry and similarity can be used in the analysis of real-life systems, in the algorithms of prediction, and in the algorithms of control.
Titolo autorizzato: Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering  Visualizza cluster
ISBN: 3-662-44955-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299704503321
Lo trovi qui: Univ. Federico II
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Serie: Studies in Systems, Decision and Control, . 2198-4182 ; ; 14