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

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

Dades bibliogràfiques
Autor principal: Madayag, Jan Vincent M. (Autor)
Altres autors: Pilario, Karl Ezra S. (adviser.)
Format: Thesis
Idioma:English
Publicat: Quezon City College of Engineering, University of the Philippines Diliman 2022.
Matèries:
Factories.
Models, linear.
Nonlinear systems.
Multiple-kernel learning.
Hyper-parameter optimization.
Nonlinear system identification.
Newell-Lee evaporator system.
Industrial dryer.
Accés en línia:Abstract