Parallel based support vector regression for empirical modeling of nonlinear chemical process systems

• Main Authors: Haslinda Zabiri,, Ramasamy Marappagounder,, Nasser M. Ramli,
• Format: Article
• Language: English
• Published: Penerbit Universiti Kebangsaan Malaysia 2018
• Online Access: http://journalarticle.ukm.my/12047/1/25%20Haslinda%20Zabiri.pdf; http://journalarticle.ukm.my/12047/; http://www.ukm.my/jsm/malay_journals/jilid47bil3_2018/KandunganJilid47Bil3_2018.html

In this paper, a support vector regression (SVR) using radial basis function (RBF) kernel is proposed using an integrated parallel linear-and-nonlinear model framework for empirical modeling of nonlinear chemical process systems. Utilizing linear orthonormal basis filters (OBF) model to represent th...