Application of online support vector regression for soft sensors-Reference-Cited by-同舟云学术

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Application of online support vector regression for soft sensors

Published:2013-12-19 Issue:2 Volume:60 Page:600-612
ISSN:0001-1541
Container-title:AIChE Journal
language:en
Short-container-title:AIChE J.

Author:

Kaneko Hiromasa¹,Funatsu Kimito¹

Affiliation:

1. Dept. of Chemical System Engineering; The University of Tokyo; Hongo 7-3-1, Bunkyo-ku Tokyo 113-8656 Japan

Funder

Japan Society for the Promotion of Science (JSPS)

Mizuho Foundation for the Promotion of Sciences

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Reference31 articles.

1. Data-driven soft sensors in the process industry;Kadlec;Comput Chem Eng.,2009

2. Development of a new soft sensor method using independent component analysis and partial least squares;Kaneko;AIChE J.,2009

3. Local learning-based adaptive soft sensor for catalyst activation prediction;Kadlec;AIChE J.,2010

4. Recursive PLS algorithms for adaptive data modeling;Qin;Comput Chem Eng.,1998

5. A new data-based methodology for nonlinear process modeling;Cheng;Chem Eng Sci.,2004

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