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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis
2015
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| Online Access: | 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 http://psasir.upm.edu.my/id/eprint/782/ https://www.tandfonline.com/doi/abs/10.1080/07373937.2015.1021007?journalCode=ldrt20 |
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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.pdfhttp://psasir.upm.edu.my/id/eprint/782/
https://www.tandfonline.com/doi/abs/10.1080/07373937.2015.1021007?journalCode=ldrt20