Intelligent modeling and control of a conveyor belt grain dryer using a simplified type 2 neuro-fuzzy controller

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Intelligent modeling and control of a conveyor belt grain dryer using a simplified type 2 neuro-fuzzy controller

In this article, a nonlinear autoregressive with exogenous input (NARX) network was utilized to model a conveyor belt grain dryer using a set of input–output data collected during an experiment to dry paddy grains. The resulting NARX model has achieved a remarkable modeling accuracy compared to othe...

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Bibliographic Details
Main Authors:	Lutfy, Omar F., Selamat, Hazlina, Mohd Noor, Samsul Bahari
Format:	Article
Language:	English
Published:	Taylor & Francis 2015
Online Access:	http://psasir.upm.edu.my/id/eprint/782/ http://psasir.upm.edu.my/id/eprint/782/1/Intelligent%20modeling%20and%20control%20of%20a%20conveyor%20belt%20grain%20dryer%20using%20a%20simplified%20type%202%20neuro-fuzzy%20controller.pdf

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