Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR

Yuan, XF; Ge, ZQ; Huang, B; Song, ZH; Wang, YL

Huang, B (reprint author), Univ Alberta, Dept Chem & Mat Sci, Edmonton, AB T6G 2G6, Canada.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017; 13 (2): 532

Abstract

Just-in-time learning (JITL) is a commonly used technique for industrial soft sensing of nonlinear processes. However, traditional JITL approaches mai......

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