世界有色金属Issue(6)：175-177,3.
矿山地质勘查中的地质模型与资源预测方法研究
Research on Geological Models and Resource Prediction Methods in Mining Geological Exploration
王政华1
作者信息
- 1. 中国建筑材料工业地质勘查中心宁夏总队,宁夏银川 750000
- 折叠
摘要
Abstract
Geological models and resource prediction methods are crucial in mining geological exploration.This study is based on geological models and compares the application effects of various resource prediction methods.Firstly,a complex geological model was constructed,followed by resource prediction using traditional statistical methods and machine learning algorithms.The results show that machine learning algorithms have higher prediction accuracy and stronger stability under complex geological conditions.Especially the neural network method,after considering multiple geological factors comprehensively,the prediction effect is particularly significant.This provides a new tool for mining geological exploration and a theoretical basis for in-depth research on geological resource prediction methods.关键词
矿山地质勘查/地质模型/资源预测方法/机器学习算法/神经网络Key words
mining geological exploration/Geological model/Resource prediction methods/Machine learning algorithms/Neural networks分类
天文与地球科学引用本文复制引用
王政华..矿山地质勘查中的地质模型与资源预测方法研究[J].世界有色金属,2025,(6):175-177,3.
