An adaptive least squares support vector machine model with a novel update for NOx emission prediction-Reference-Cited by-同舟云学术

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An adaptive least squares support vector machine model with a novel update for NOx emission prediction

Published:2015-07 Issue: Volume:145 Page:103-113
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Lv You,Yang Tingting,Liu Jizhen

Funder

National Basic Research Program of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference41 articles.

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2. Data-based process monitoring, process control, and quality improvement: recent developments and applications in steel industry;Kano;Comput. Chem. Eng.,2008

3. Soft Sensor design for a Topping process in the case of small datasets;Napoli;Comput. Chem. Eng.,2011

4. Nonlinear multivariate quality estimation and prediction based on kernel partial least squares;Zhang;Ind. Eng. Chem. Res.,2008

5. Integrating data-based modeling and nonlinear control tools for batch process control;Aumi;AICHE J.,2012

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