Nonlinear System Identification
From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes
- 1225 stránek
- 43 hodin čtení
Engineers and scientists will gain a comprehensive understanding of nonlinear system identification principles, enabling them to confidently apply the discussed models and methods to real-world problems. The book also highlights potential challenges that practitioners may encounter, ensuring a well-rounded grasp of the subject matter.
