基于人工智能的地质勘探数据挖掘与分析
Geological Exploration Data Mining and Analysis Based on Artificial Intelligence
葛燕平1
作者信息
- 1. 石家庄市自然资源和规划信息中心,河北石家庄 050000
- 折叠
摘要
随着全球经济的快速发展,矿产资源的开发和利用变得越来越重要.地质勘探作为矿产资源开发的基础环节,其数据处理和分析方法的效率和准确性对后续资源开发和利用具有关键影响.在信息化和大数据时代背景下,人工智能作为一种新兴的技术手段,逐渐被应用到地质勘探领域.基于人工智能的地质勘探数据挖掘与分析,旨在提高地质勘探数据的处理效率,提升地质勘探成果的准确性和可靠性,从而为矿产资源的高效开发和利用提供技术支持.本研究旨在通过应用人工智能技术,探索地质勘探数据挖掘与分析的有效方法,提高地质勘探数据处理的精度和效率,为地质勘探工作提供科学依据和技术支持.
Abstract
With the rapid development of the global economy,the development and utilization of mineral resources have become increasingly important.Geological exploration,as the fundamental link of mineral resource development,has a crucial impact on the efficiency and accuracy of its data processing and analysis methods for subsequent resource development and utilization.In the era of informatization and big data,artificial intelligence,as an emerging technological means,is gradually being applied to the field of geological exploration.The geological exploration data mining and analysis based on artificial intelligence aims to improve the processing efficiency of geological exploration data,enhance the accuracy and reliability of geological explora-tion results,and provide technical support for the efficient development and utilization of mineral resources.This study aims to explore effective methods for mining and analyzing geological exploration data through the application of artificial intelligence technology,improve the accuracy and efficiency of geological exploration data processing,and provide scientific basis and tech-nical support for geological exploration work.
关键词
人工智能/地质勘探/数据挖掘Key words
artificial intelligence/geological exploration/data mining引用本文复制引用
出版年
2023
NETL
NSTL
维普
万方数据