物探与化探2023，Vol.47Issue(6)：1433-1440,8.DOI:10.11720/wtyht.2023.1613
卷积神经网络在山东金矿勘查预测中的应用
Application of convolution neural networks in gold exploration and prediction in Shandong Province
摘要
Abstract
Rapid progress has been made in the application of big data and artificial intelligence technology in the prediction of mineral resources.However,the application of machine learning technology based on convolutional neural networks remains in the exploration and experimental stages,with few practical examples and accomplishments achieved in the exploration and prediction of mineral re-sources in China.This study proposed applying convolutional neural networks to the exploration of gold deposits.Specifically,a neural network was trained for 2000 rounds using measured geological,mineral,geophysical,and geochemical data collected from a minerali-zation region covering an area of 3×104 km2 in a gold deposit in Shandong Province.Consequently,a 1D convolutional neural network model with accuracy of 0.95 and a loss rate of 0.11 was obtained.This model was employed to predict the distribution locations of gold deposits(exploration target areas)in other unknown areas in Shandong Province,yielding encouraging outcomes.关键词
卷积神经网络/机器学习/金矿勘探Key words
convolutional neural network/machine learning/gold exploration分类
天文与地球科学引用本文复制引用
郑孝诚,张明华,任伟..卷积神经网络在山东金矿勘查预测中的应用[J].物探与化探,2023,47(6):1433-1440,8.基金项目
国家自然科学基金项目"图文数一体化的地学知识图谱构建与应用"(42050105) （42050105）
