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Development of a Novel Soft Sensor Using a Local Model Network with an Adaptive Subtractive Clustering Approach
- Source :
- Industrial & Engineering Chemistry Research. 49:4738-4747
- Publication Year :
- 2010
- Publisher :
- American Chemical Society (ACS), 2010.
-
Abstract
- In this study, using data-driven methods, we develop a soft senor based on a multiple local model for a nonlinear industrial process. The soft sensor is based on a novel learning algorithm, which u...
Details
- ISSN :
- 15205045 and 08885885
- Volume :
- 49
- Database :
- OpenAIRE
- Journal :
- Industrial & Engineering Chemistry Research
- Accession number :
- edsair.doi...........92eaf4acaec943f4e8db50662745f5a3