Multi-kernel canonical variate analysis with optimal kernel designs for nonlinear system identification

Dettagli Bibliografici
Autore principale:	Madayag, Jan Vincent M. (Autore)
Altri autori:	Pilario, Karl Ezra S. (adviser.)
Natura:	Tesi
Lingua:	English
Pubblicazione:	Quezon City College of Engineering, University of the Philippines Diliman 2022.
Soggetti:	Factories. Models, linear. Nonlinear systems. Multiple-kernel learning. Hyper-parameter optimization. Nonlinear system identification. Newell-Lee evaporator system. Industrial dryer.
Accesso online:	Abstract