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PO-BP neural network-based temperature prediction for tobacco drying machines

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Measurement and Control

Published online on

Abstract

Measurement and Control, Ahead of Print.
In the cut-tobacco drier production line, precise temperature control of the thin-plate roaster is essential for ensuring product quality and operational safety. However, existing temperature prediction models exhibit limited prediction accuracy, ...