Development of MLR and variedly optimized ANN models for forecasting the detachability and liquefaction potential index of erodible soils-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Development of MLR and variedly optimized ANN models for forecasting the detachability and liquefaction potential index of erodible soils

Published:2023-02 Issue:1 Volume:2 Page:100104
ISSN:2772-8838
Container-title:Geosystems and Geoenvironment
language:en
Short-container-title:Geosystems and Geoenvironment

Author:

Egbueri Johnbosco C.^ORCID,Igwe Ogbonnaya,Omeka Michael E.,Agbasi Johnson C.^ORCID

Publisher

Elsevier BV

Reference49 articles.

1. Using the USLE: chances, challenges and limitations of soil erosion modelling;Alewell;Int. Soil. Water Conserv. Res.,2019

2. Soil Mechanics and Foundation Engineering (geotechnical engineering);Arora,2008

3. A permanent loss to New England: soil erosion resulting from the Hurricane;Bennett;Am. Geogr. Soc.,1939

4. Stability evaluation of dump slope using artifcial neural network and multiple regression;Bharati;Eng. Comput.,2021

5. A Geology For Engineers;Blyth,1984

Cited by 29 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. Roll force prediction by combined FEM and ANN in the hot rolling process under nano-lubrication condition;The International Journal of Advanced Manufacturing Technology;2024-09-09

2. A Triangular based determination of temperature using artificial intelligence;Indian Journal of Physics;2024-08-27

3. A self-attention-LSTM method for dam deformation prediction based on CEEMDAN optimization;Applied Soft Computing;2024-07

4. Exploring the recent trends, progresses, and challenges in the application of Artificial intelligence in water quality assessment and monitoring in Nigeria: A systematic review;2024-06-10

5. Investigating a hybrid extreme learning machine coupled with Dingo Optimization Algorithm for modeling liquefaction triggering in sand-silt mixtures;Scientific Reports;2024-05-11

同舟云学术

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