Nonlinear System Identification

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

Auteurs

• Oliver Nelles

Paramètres

• Pages: 1225 pages
• Temps de lecture: 43 heures

• Informatique, programmation
• La nature
• Mathématiques
• Nature, Animaux

En savoir plus sur le livre

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.

Achat du livre

• Année de publication: 2022
• Reliure: (rigide)