Applying neural networks-based modelling to the prediction of mineralization: A case-study using the Western Australian Geochemistry (WACHEM) database

Vladimir Puzyrev, Mario Zelic,Paul Duuring

Ore Geology Reviews（2023）

引用 1|浏览1

暂无评分

摘要

•Deep neural networks allow to estimate missing values in geochemical data.•Most analytes including base metals, Co, Pt, Li show good predictive capability.•Predicted values may benefit mineral explorers by indicating exploration targets.•Estimation of rock type from geochemical data has high classification accuracy.

查看译文

关键词

Mineral prospectivity mapping,Machine learning,Deep learning,Neural network,Data analysis

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要