Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques
Author:
Funder
China Postdoctoral Science Foundation
Research Cultivation Fund of Xian University of Science and Technology
Publisher
Elsevier BV
Subject
Soil Science
Reference106 articles.
1. Quantifying the effects of root reinforcement of Persian ironwood (Parrotia persica) on slope stability; a case study: hillslope of Hyrcanian forests, northern Iran;Abdi;Ecol. Eng.,2010
2. Landslide susceptibility mapping by geographical information system-based multivariate statistical and deterministic models: in an artificial reservoir area at Northern Turkey;Akgun;Arab. J. Geosci.,2016
3. Landslide hazard assessment: summary review and new perspectives;Aleotti;Bull. Eng. Geol. Environ.,1999
4. A novel ensemble decision tree-based CHi-squared Automatic Interaction Detection (CHAID) and multivariate logistic regression models in landslide susceptibility mapping;Althuwaynee;Landslides,2014
5. A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison;Althuwaynee;Int. J. Remote Sens.,2016
Cited by 303 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. Enhancing flood mapping through ensemble machine learning in the Gamasyab watershed, Western Iran;Environmental Science and Pollution Research;2024-08-02
2. Predicted Climate Change will Increase Landslide Risk in Hanjiang River Basin, China;Journal of Earth Science;2024-08
3. Spatial distribution law of landslides and landslide susceptibility assessment in the eastern Himalayan syntaxis region;Quarterly Journal of Engineering Geology and Hydrogeology;2024-07-25
4. Enhancing the Performance of Landslide Susceptibility Mapping with Frequency Ratio and Gaussian Mixture Model;Land;2024-07-10
5. Comparative landslide susceptibility assessment using information value and frequency ratio bivariate statistical methods: a case study from Northwestern Himalayas, Jammu and Kashmir, India;Arabian Journal of Geosciences;2024-07-10
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