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January 1, 2025International Journal of Society Systems Science

Machine Learning of Control Grades Classification for Land Use Regulations

Ruolan Lei Xiao Teng Zhenjiang Shen

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Key Points

This research aims to improve the classification of control grades in land use regulations using machine learning techniques.
Analyzed various machine learning algorithms for classifying land use control grades.
Evaluated the performance of models in terms of accuracy and efficiency.
Incorporated data from environmental and engineering perspectives.
Demonstrated improved accuracy in classifying control grades using machine learning methods.
Highlights the potential for enhanced management practices in land use regulations.

Implication

Machine learning improves classification of control grades for land use regulations, suggesting better management practices.

Abstract

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Cite This Study

Lei et al. (2025) studied this question.

synapsesocial.com/papers/69b5ff3b83145bc643d1b6a6 https://doi.org/10.1504/ijsss.2025.10076992

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