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

Khandelwal, Dhruv

 
9783030903459: Automating Data-Driven Modelling of Dynamical Systems: An Evolutionary Computation Approach
Brossura
ISBN 10: 3030903451 ISBN 13: 9783030903459
Casa editrice: Springer, 2023

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer
Data di pubblicazione
2023
Lingua
Inglese
ISBN 10 
3030903451
ISBN 13 
9783030903459
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
256
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Germania

Altre edizioni note dello stesso titolo

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

Edizione in evidenza

ISBN 10:  3030903427 ISBN 13:  9783030903428
Casa editrice: Springer Nature, 2022
Rilegato