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

Detaylı Bibliyografya
Yazar: Madayag, Jan Vincent M. (Yazar)
Diğer Yazarlar: Pilario, Karl Ezra S. (adviser.)
Materyal Türü: Tez
Dil:English
Baskı/Yayın Bilgisi: Quezon City College of Engineering, University of the Philippines Diliman 2022.
Konular:
Factories.
Models, linear.
Nonlinear systems.
Multiple-kernel learning.
Hyper-parameter optimization.
Nonlinear system identification.
Newell-Lee evaporator system.
Industrial dryer.
Online Erişim:Abstract