Process Control and Soft Sensors
Author:
Affiliation:
1. The University of Tokyo; Department of Chemical System Engineering, School of Engineering; Engineering Bld. 3, 7-3-1 Hongo, Bunkyo-ku 113-8656 Tokyo Japan
Publisher
Wiley-VCH Verlag GmbH & Co. KGaA
Reference33 articles.
1. Review of adaptation mechanisms for data-driven soft sensors;Kadlec;Comput. Chem. Eng.,2011
2. Data-driven Soft Sensors in the process industry
3. Non-linear projection to latent structures revisited: the quadratic PLS algorithm
4. Neural networks: A new method for solving chemical problems or just a passing phase?
5. Neural Networks in Chemistry
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