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Updated: Jun 28, 2025

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基于频率比率和半监督异质集体学习模型的滑坡易感性评估

Yangyang Zhao1, Shengwu Qin2, Chaobiao Zhang1

  • 1College of Construction Engineering, Jilin University, 938, Ximinzhu Road, Changchun, China.

Environmental science and pollution research international
|April 20, 2024
PubMed
概括

这项研究引入了一种新的山体滑坡易感模型,该模型使用频率比和半监督学习来提高准确性. 开发的FR-SSELR模型提高了山体滑坡的预测和管理,提供了显著的经济效益.

关键词:
在美国有CNN,CNN,CNN.能够学习的学习策略,频率比, 频率比, 频率比, 频率比容易发生山体滑坡的易感性机器学习,机器学习.半监督,半监督,半监督的可持续性, 可持续性, 可持续性

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