Review: Theory-guided machine learning applied to hydrogeology—state of the art, opportunities and future challenges
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s10040-021-02403-2.pdf
Reference76 articles.
1. Adamowski J, Chan HF (2011) A wavelet neural network conjunction model for groundwater level forecasting. J Hydrol 407:28–40. https://doi.org/10.1016/j.jhydrol.2011.06.013
2. Afshar A, Mariño MA, Ebtehaj M, Moosavi J (2007) Rule-based fuzzy system for assessing groundwater vulnerability. J Environ Eng 133:532–540. https://doi.org/10.1061/(ASCE)0733-9372(2007)133:5(532)
3. Arabameri A, Roy J, Saha S, Blaschke T, Ghorbanzadeh O, Tien Bui D (2019) Application of probabilistic and machine learning models for groundwater potentiality mapping in Damghan sedimentary plain, Iran. Remote Sens 11. https://doi.org/10.3390/rs11243015
4. Arnold DN (2015) Stability, consistency, and convergence of numerical discretizations, encyclopedia of applied and computational mathematics. In: Engquist B (ed) Encyclopedia of applied and computational mathematics. Springer, Heidelberg, Germany, pp 1358–1364. https://doi.org/10.1007/978-3-540-70529-1_407
5. Ayodele TO (2010) Types of machine learning algorithms. New adv Mach Learn 3:19–48. https://doi.org/10.5772/9385
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Solving groundwater flow equation using physics-informed neural networks;Computers & Mathematics with Applications;2023-09
2. Reconstrucción probabilística mediante aprendizaje automático del sistema acuífero de la cuenca del Po (Italia);Hydrogeology Journal;2023-08-01
3. A quantile-based encoder-decoder framework for multi-step ahead runoff forecasting;Journal of Hydrology;2023-04
4. A Causal Physics-Informed Deep Learning Formulation for Groundwater Flow Modeling and Climate Change Effect Analysis;2023
5. Enhancing Short-Term Streamflow Prediction in the Haihe River Basin with Integrated Deep Learning with Lasso;2023
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3