Automating Data-driven Modelling of Dynamical Systems: An Evolutionary Computation Approach - Couverture rigide

Khandelwal, Dhruv

9783030903428: Automating Data-driven Modelling of Dynamical Systems: An Evolutionary Computation Approach

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ISBN 10 : 3030903427 ISBN 13 : 9783030903428

Editeur : Springer Nature Switzerland AG, 2022

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Introduction.- The State-of-the-art.- Preliminaries - Evolutionary Algorithms.- Tree Adjoining Grammar.- Performance measures.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteurSpringer Nature Switzerland AG
Date d'�dition2022
ISBN 10 3030903427
ISBN 13 9783030903428
ReliureReli�
Langueanglais
Nombre de pages229
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9783030903459: Automating Data-Driven Modelling of Dynamical Systems: An Evolutionary Computation Approach

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Automating Data-driven Modelling of Dynamical Systems

Dhruv Khandelwal

Edit� par Springer International Publishing, 2022

ISBN 10 : 3030903427 ISBN 13 : 9783030903428

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a novel approach for automating system identificationOffers novel solutions to multi-criteria system identification problemsReviews fundamental concepts of system identificationThis book describes a user-friendly, evolut. N� de r�f. du vendeur 512678817

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Automating Data-Driven Modelling of Dynamical Systems : An Evolutionary Computation Approach

Dhruv Khandelwal

Edit� par Springer International Publishing, 2022

ISBN 10 : 3030903427 ISBN 13 : 9783030903428

Neuf Couverture rigide

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes a user-friendly, evolutionary algorithms-based framework for estimating data-driven models for a wide class of dynamical systems, including linear and nonlinear ones. The methodology addresses the problem of automating the process of estimating data-driven models from a user's perspective. By combining elementary building blocks, it learns the dynamic relations governing the system from data, giving model estimates with various trade-offs, e.g. between complexity and accuracy. The evaluation of the method on a set of academic, benchmark and real-word problems is reported in detail. Overall, the book offers a state-of-the-art review on the problem of nonlinear model estimation and automated model selection for dynamical systems, reporting on a significant scientific advance that will pave the way to increasing automation in system identification. N� de r�f. du vendeur 9783030903428

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Automating Data-Driven Modelling of Dynamical Systems

Dhruv Khandelwal

Edit� par Springer International Publishing Feb 2022, 2022

ISBN 10 : 3030903427 ISBN 13 : 9783030903428

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes a user-friendly, evolutionary algorithms-based framework for estimating data-driven models for a wide class of dynamical systems, including linear and nonlinear ones. The methodology addresses the problem of automating the process of estimating data-driven models from a user's perspective. By combining elementary building blocks, it learns the dynamic relations governing the system from data, giving model estimates with various trade-offs, e.g. between complexity and accuracy. The evaluation of the method on a set of academic, benchmark and real-word problems is reported in detail. Overall, the book offers a state-of-the-art review on the problem of nonlinear model estimation and automated model selection for dynamical systems, reporting on a significant scientific advance that will pave the way to increasing automation in system identification. 256 pp. Englisch. N� de r�f. du vendeur 9783030903428

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Automating Data-Driven Modelling of Dynamical Systems: An Evolutionary Computation Approach (Springer Theses)

Khandelwal, Dhruv

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ISBN 10 : 3030903427 ISBN 13 : 9783030903428

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Etat : New. In. N� de r�f. du vendeur ria9783030903428_new

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Automating Data-Driven Modelling of Dynamical Systems

Dhruv Khandelwal

Edit� par Springer International Publishing, Springer International Publishing Feb 2022, 2022

ISBN 10 : 3030903427 ISBN 13 : 9783030903428

Neuf Couverture rigide

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Buch. Etat : Neu. Neuware -This book describes a user-friendly, evolutionary algorithms-based framework for estimating data-driven models for a wide class of dynamical systems, including linear and nonlinear ones. The methodology addresses the problem of automating the process of estimating data-driven models from a user�s perspective. By combining elementary building blocks, it learns the dynamic relations governing the system from data, giving model estimates with various trade-offs, e.g. between complexity and accuracy. The evaluation of the method on a set of academic, benchmark and real-word problems is reported in detail. Overall, the book offers a state-of-the-art review on the problem of nonlinear model estimation and automated model selection for dynamical systems, reporting on a significant scientific advance that will pave the way to increasing automation in system identification.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 256 pp. Englisch. N� de r�f. du vendeur 9783030903428

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