,:

Umar Ashraf1, Hucai Zhang2, Aqsa Anees1

  • 1Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China; Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming 650500, China.

概括

本研究引入了一种先进的机器学习方法,用于使用全球地质化学数据对岩石进行分类. 合并模型实现了99.2%的准确性,显著改善了岩石类型预测.

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