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Machine learning in drying
- Source :
- Drying Technology. 38:596-609
- Publication Year :
- 2019
- Publisher :
- Informa UK Limited, 2019.
-
Abstract
- Although very important for analysis of drying processes, physics-based models are limited in terms of their prediction ability and in most cases are unsuitable for real-time process control and op...
- Subjects :
- 0404 agricultural biotechnology
020401 chemical engineering
General Chemical Engineering
Control (management)
Process control
Control engineering
04 agricultural and veterinary sciences
02 engineering and technology
0204 chemical engineering
Physical and Theoretical Chemistry
040401 food science
Subjects
Details
- ISSN :
- 15322300 and 07373937
- Volume :
- 38
- Database :
- OpenAIRE
- Journal :
- Drying Technology
- Accession number :
- edsair.doi...........ce4f07e1ebf08b5dd44da4e1308fe100
- Full Text :
- https://doi.org/10.1080/07373937.2019.1690502