Téléchargez le livre : Automating Data-Driven Modelling of Dynamical Systems

Automating Data-Driven Modelling of Dynamical Systems

An Evolutionary Computation Approach de

Éditeur :

Springer


Collection :

Springer Theses

Paru le : 2022-02-03

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Description

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.
Pages
229 pages
Collection
Springer Theses
Parution
2022-02-03
Marque
Springer
EAN papier
9783030903428
EAN PDF
9783030903435
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
11356 Ko
Prix
147,69 €
EAN EPUB
9783030903435
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
38636 Ko
Prix
147,69 €

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