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

Detalhes bibliográficos
Autor principal: Madayag, Jan Vincent M. (Autor)
Outros Autores: Pilario, Karl Ezra S. (adviser.)
Formato: Tese
Idioma:English
Publicado em: Quezon City College of Engineering, University of the Philippines Diliman 2022.
Assuntos:
Factories.
Models, linear.
Nonlinear systems.
Multiple-kernel learning.
Hyper-parameter optimization.
Nonlinear system identification.
Newell-Lee evaporator system.
Industrial dryer.
Acesso em linha:Abstract