Construction and Performance Evaluation of Grain Porosity Prediction Models Based on Metaheuristic Algorithms and Machine Learning

Grain porosity is a key parameter affecting the heat and moisture transfer in grain piles, and is related to the accuracy of heat and moisture transfer calculations and simulation studies in grain piles. To effectively measure the porosity of grains under different pressures, this study used a power...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE access 2025-01, p.1-1
Hauptverfasser:	Chen, Jiahao, Li, Jiaxin, Zheng, Deqian, Liu, Chaosai, Zhao, Runmei, Zhang, Jiayi
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Food security Grain porosity Harris hawks optimization Machine learning Machine learning algorithms Media Moisture Prediction algorithms Predictive models Support vector machines Support vector regression Temperature measurement
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!