Prediction model of thermal conductivities of agricultural products postharvest

Knowledge of the thermal conductivity of agricultural products postharvest was fundamentally important in mathematical modeling studies for the design and optimization of agricultural products processing operations involving heat and mass transfer. The objective of this work was to develop an approp...

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Bibliographische Detailangaben

Hauptverfasser:	Min Zhang, Zhenhua Che, Jiahua Lu, Jianhua Chen, Le Yang, Zhiyou Zhong, Huizhong Zhao
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Agricultural products Artificial neural networks BP neural network Conductivity Conductivity measurement Neurons optimal model Temperature measurement Thermal conductivity
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