Prediction of cooling moisture content after cut tobacco drying process based on a particle swarm optimization-extreme learning machine algorithm

DOI10.3934/MBE.2021127zbMath1471.92495OpenAlexW3138898617MaRDI QIDQ1981251

Yonghong Nong, Kai Wu, Xing Fan, Wenhua Zi, Yong Wang, Junfeng Qiao, Yuanzhen Zhou, Zeyu Wang, Ming Zhu

Publication date: 10 September 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2021127

zbMATH Keywords

cooling moisture contentenvironment humidityenvironment temperatureexport moisture contentPSO-ELM

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Other natural sciences (mathematical treatment) (92F05)

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