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

Détails bibliographiques
Auteur principal:	Madayag, Jan Vincent M. (Auteur)
Autres auteurs:	Pilario, Karl Ezra S. (adviser.)
Format:	Thèse
Langue:	English
Publié:	Quezon City College of Engineering, University of the Philippines Diliman 2022.
Sujets:	Factories. Models, linear. Nonlinear systems. Multiple-kernel learning. Hyper-parameter optimization. Nonlinear system identification. Newell-Lee evaporator system. Industrial dryer.
Accès en ligne:	Abstract