Predictive control of drying process using an adaptive neuro-fuzzy and partial least squares approach

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...

Full description

Bibliographic Details
Main Authors: Azadeh, A., Neshat, N., Kazemi, A., Saberi, Morteza
Format: Journal Article
Published: Springer London 2012
Subjects:
Spray-drying process
Artificial neural networks
Predictive control
Neuro-fuzzy inference system
Partial least squares
Online Access:http://www.springerlink.com/content/382653l46t17n7kr/
http://hdl.handle.net/20.500.11937/49334

Similar Items

Similar Items