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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| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
Taylor and Francis Inc.
2015
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| பகà¯à®¤à®¿à®•ளà¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•லà¯: | http://eprints.utm.my/55995/ http://eprints.utm.my/55995/ http://eprints.utm.my/55995/ |
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http://eprints.utm.my/55995/http://eprints.utm.my/55995/
http://eprints.utm.my/55995/