Predictive control of drying process using an adaptive neuro-fuzzy and partial least squares approach
In this paper, adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN), and partial least squares (PLS) approaches are applied to predictive control of a drying process. In the proposed approaches, the PLS analysis is used to pre-process actual data and to provide the necessar...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Springer London
2012
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| Subjects: | |
| Online Access: | http://www.springerlink.com/content/382653l46t17n7kr/ http://hdl.handle.net/20.500.11937/49334 |