Nonlinear System Identification

From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes

Autori

• Oliver Nelles

Parametri

• 1225 pagine
• 43 ore di lettura

• Computer, IT, programmazione

Maggiori informazioni sul libro

Engineers and scientists will gain a comprehensive understanding of nonlinear system identification principles, enabling them to confidently apply various models and methods to real-world challenges. The book emphasizes practical application while addressing potential difficulties that practitioners may encounter, making it a valuable resource for both academia and industry.

Lingua: Inglese

Pubblicato: 2022

(Copertina rigida)