机构

• 地质与地球物理研究所 [9]

采集方式

• OAI收割 [9]

内容类型

• 期刊论文 [9]

发表日期

• 2023 [2]
• 2022 [2]
• 2021 [4]
• 2018 [1]

学科主题

筛选

浏览/检索结果: 共9条，第1-9条 帮助 限定条件 专题：地质与地球物理研究所    第一署名单位    第一作者单位    通讯作者单位     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Susceptibility assessment of earth fissure related to groundwater extraction using machine learning methods combined with weights of evidence 期刊论文  OAI收割 NATURAL HAZARDS, 2023, 页码: 23 作者:  Wei, Aihua;  Chen, Yuanyao;  Zhao, Haijun;  Liu, Zhao;  Yang, Likui   |  收藏  |  浏览/下载：5/0  |  提交时间：2023/12/29 Earth fissure assessment  Weights of evidence  Support vector machine learning  Random forest  Ensemble models   Quantitative evaluation of gas hydrate reservoir by AVO attributes analysis based on the Brekhovskikh equation 期刊论文  OAI收割 PETROLEUM SCIENCE, 2023, 卷号: 20, 期号: 4, 页码: 2045-2059 作者:  Wang, Yao;  Wang, Yan-Fei   |  收藏  |  浏览/下载：1/0  |  提交时间：2023/12/29 Natural gas hydrate  Brekhovskikh equation  AVO attributes  Random forest   Research on a Regional Landslide Early-Warning Model Based on Machine Learning-A Case Study of Fujian Province, China 期刊论文  OAI收割 FORESTS, 2022, 卷号: 13, 期号: 12, 页码: 19 作者:  Liu, Yanhui;  Huang, Junbao;  Xiao, Ruihua;  Ma, Shiwei;  Zhou, Pinggen   |  收藏  |  浏览/下载：18/0  |  提交时间：2023/03/31 landslide  early-warning model  machine learning  Random Forest  model study   A review of machine learning in geochemistry and cosmochemistry: Method improvements and applications 期刊论文  OAI收割 APPLIED GEOCHEMISTRY, 2022, 卷号: 140, 页码: 13 作者:  He, Yuyang;  Zhou, You;  Wen, Tao;  Zhang, Shuang;  Huang, Fang   |  收藏  |  浏览/下载：43/0  |  提交时间：2022/07/19 LIBS  XAFS  Mapping  Water  soil prediction  Molecular machine learning  Reactive-transport modeling   An intelligent-while-drilling steering method of global closed-loop servo control 期刊论文  OAI收割 CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2021, 卷号: 64, 期号: 11, 页码: 4215-4226 作者:  Wu SiYuan;  Li ShouDing;  Chen Dong;  Li Xiao;  Du AiMin   |  收藏  |  浏览/下载：25/0  |  提交时间：2022/07/05 Logging While Drilling (LWD)  Artificial intelligence  Deep learning  Machine learning  Geosteering  Intelligent drilling  Large closed-loop servo control   Machine Learning Method for TOC Prediction: Taking Wufeng and Longmaxi Shales in the Sichuan Basin, Southwest China as an Example 期刊论文  OAI收割 GEOFLUIDS, 2021, 卷号: 2021, 页码: 13 作者:  Rong, Jia;  Zheng, Zongyuan;  Luo, Xiaorong;  Li, Chao;  Li, Yuping   |  收藏  |  浏览/下载：47/0  |  提交时间：2021/11/01 Prediction of marine heat flow based on the random forest method and geological and geophysical features 期刊论文  OAI收割 MARINE GEOPHYSICAL RESEARCH, 2021, 卷号: 42, 期号: 3, 页码: 13 作者:  Li, Min;  Huang, Song;  Dong, Miao;  Xu, Ya;  Hao, Tianyao   |  收藏  |  浏览/下载：49/0  |  提交时间：2021/11/01 Marine heat flow  Machine learning  Hydrothermal circulation  Random forest method   Resource prediction and assessment based on 3D/4D big data modeling and deep integration in key ore districts of North China 期刊论文  OAI收割 SCIENCE CHINA-EARTH SCIENCES, 2021, 页码: 17 作者:  Wang, Gongwen;  Zhang, Zhiqiang;  Li, Ruixi;  Li, Junjian;  Sha, Deming   |  收藏  |  浏览/下载：88/0  |  提交时间：2021/10/21 Geoscience big data  3D  4D modeling  Weights of evidence  Random forest  Target optimization and resources assessment  Gold district in North China   Study on intelligent discrimination of tectonic settings based on global gabbro data from GEOROC 期刊论文  OAI收割 ACTA PETROLOGICA SINICA, 2018, 卷号: 34, 期号: 11, 页码: 3189-3194 作者:  Jiao ShouTao;  Zhou YongZhang;  Zhang Qi;  Jin WeiJun;  Liu YanPeng   |  收藏  |  浏览/下载：19/0  |  提交时间：2019/03/04 Gabbro  Machine learning  Data mining  SVM  Random forest  GEOROC  Python