Intelligent Control of Bulk Tobacco Curing Schedule Using LS-SVM- and ANFIS-Based Multi-Sensor Data Fusion Approaches

The bulk tobacco flue-curing process is followed by a bulk tobacco curing schedule, which is typically pre-set at the beginning and might be adjusted by the curer to accommodate the need for tobacco leaves during curing. In this study, the controlled parameters of a bulk tobacco curing schedule were...

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Bibliografiske detaljer
Main Authors: Juan Wu, Simon X. Yang
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2019-04-01
Serier:Sensors
Fag:
multi-sensor data fusion
electronic nose
bulk tobacco curing schedule
least squares support vector machines
adaptive neuro-fuzzy inference system
Online adgang:https://www.mdpi.com/1424-8220/19/8/1778
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