Prediction of Grain Porosity Based on WOA–BPNN and Grain Compression Experiment

Prediction of Grain Porosity Based on WOA–BPNN and Grain Compression Experiment

The multi-field coupling of grain piles in grain silos is a focal point of research in the field of grain storage. The porosity of grain piles is a critical parameter that affects the heat and moisture transfer in grain piles. To investigate the distribution law of the bulk grain pile porosity in gr...

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Bibliographic Details
Main Authors: Jiahao Chen, Jiaxin Li, Deqian Zheng, Qianru Zheng, Jiayi Zhang, Meimei Wu, Chaosai Liu
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Applied Sciences
Subjects:
grain porosity
compression experiment
whale optimization algorithm
BP neural network
machine learning
Online Access:https://www.mdpi.com/2076-3417/14/7/2960

Internet

https://www.mdpi.com/2076-3417/14/7/2960

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