Research on the Liquor Yield Prediction Model Integrating Hybrid Kernel Support Vector Regression and Dung Beetle Optimizer

Research on the Liquor Yield Prediction Model Integrating Hybrid Kernel Support Vector Regression and Dung Beetle Optimizer

To enhance the efficiency of liquor production and reduce subjective errors caused by manual operations, this study explores the relationship between production process parameters and yield to achieve accurate yield prediction. Based on actual liquor production data, a Multi Kernel Support Vector Re...

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Bibliographic Details
Main Authors: Qinwen Deng, Yibo Xu, Qiang Han, Suyi Zhang, Xianguo Tuo
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Liquor production
yield prediction
dung beetle optimizer
stacking model fusion
Online Access:https://ieeexplore.ieee.org/document/10750182/
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https://ieeexplore.ieee.org/document/10750182/

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