Optimizing machine learning algorithms for spatial prediction of gully erosion susceptibility with four training scenarios
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-022-25090-2.pdf
Reference105 articles.
1. Abraham A (2005) Artificial neural networks. Handbook of measuring system design. John Wiley & Sons, London, pp 901–908
2. Achour Y, Pourghasemi HR (2019) How do machine learning techniques help in increasing accuracy of landslide susceptibility maps? Geosci Front 11:871–883
3. Al-Abadi AM, Al-Ali AK (2018) Susceptibility mapping of gully erosion using GIS-based statistical bivariate models: a case study from Ali Al-Gharbi District, Maysan Governorate, southern Iraq. Environ Earth Sci 77:249
4. Alizadeh M, Ngah I, Hashim M, Pradhan B, Pour AB (2018) A hybrid analytic network process and artificial neural network (ANP-ANN) model for urban earthquake vulnerability assessment. Remote Sens 10:975
5. Amare S, Keesstra S, van der Ploeg M, Langendoen E, Steenhuis T, Tilahun S (2019) Causes and controlling factors of Valley bottom Gullies. Land 8(9):141
Cited by 4 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. Mekân Tabanlı Toprak Erozyonu Tahmin Modelleri: Bildiklerimiz Değişiyor Mu?;Coğrafi Bilimler Dergisi;2023-10-30
2. Spatial mapping of gully erosion susceptibility using an efficient metaheuristic neural network;Environmental Earth Sciences;2023-09-12
3. Evaluating the effectiveness and robustness of machine learning models with varied geo-environmental factors for determining vulnerability to water flow-induced gully erosion;Frontiers in Environmental Science;2023-07-18
4. Scrutinizing gully erosion hotspots using hybridized deep‐learning analysis to avoid land degradation;Land Degradation & Development;2023-04-18
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