Nonlinear System Identification

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

Autor*innen

• Oliver Nelles

Parameter

• 1225 Seiten
• 43 Lesestunden

• Informatik & Programmierung

Mehr zum Buch

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.

• Sprache: Englisch
• Erscheinungsdatum: 2022
• Einband: Hardcover