Evaluation of Parametric and Nonparametric Machine‐Learning Techniques for Prediction of Saturated and Near‐Saturated Hydraulic Conductivity
Author:
Affiliation:
1. Univ. of São PauloCentre for Nuclear Energy in Agriculture (CENA/USP)Caixa Postal 9613416‐903PiracicabaSPBrazil
2. Dep. of AgroecologyAarhus Univ.Blichers Allé 208830TjeleDenmark
Funder
Miljøstyrelsen
Publisher
Wiley
Subject
Soil Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.2136/vzj2018.07.0141
Reference47 articles.
1. The effects of soil organic matter on soil water retention and plant water use in a meadow of the Sierra Nevada, CA
2. Predicting saturated hydraulic conductivity by artificial intelligence and regression models;Arshad R.R.;ISRN Soil Sci.,2013
3. Spatial and temporal variation of moisture content in the soil profiles of two different agricultural fields of semi-arid region
4. Pedotransfer functions estimating soil hydraulic properties using different soil parameters
5. Pedotransfer functions to estimate retention and availability of water in soils of the state of Santa Catarina, Brazil
Cited by 42 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. Inclusion of fractal dimension in machine learning models improves the prediction accuracy of hydraulic conductivity;Stochastic Environmental Research and Risk Assessment;2024-08-11
2. Performance Evaluation of Parametric and Non-Parametric Machine Learning Models using Statistical Analysis for RT-IoT2022 Dataset;Journal of Scientific & Industrial Research;2024-08
3. Machine learning applications in vadose zone hydrology: A review;Vadose Zone Journal;2024-06-14
4. Predicting saturated and near-saturated hydraulic conductivity using artificial neural networks and multiple linear regression in calcareous soils;PLOS ONE;2024-01-10
5. Dominant factors determining the hydraulic conductivity of sedimentary aquitards: A random forest approach;Journal of Hydrology;2023-12
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