Parallel based support vector regression for empirical modeling of nonlinear chemical process systems
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...
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格式: | Article |
语言: | English |
出版: |
Penerbit Universiti Kebangsaan Malaysia
2018
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在线阅读: | 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 |
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