Least square support vector machine-based variational mode decomposition: a new hybrid model for daily river water temperature modeling
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/s11356-022-20953-0.pdf
Reference82 articles.
1. Abdi R, Rust A, & Hogue TS (2021) Development of a Multilayer Deep Neural Network Model for Predicting Hourly River Water Temperature from Meteorological Data. Front Environ Sci 433. https://doi.org/10.3389/fenvs.2021.738322
2. Ammar K, Khalil A, McKee M, & Kaluarachchi J (2008) Bayesian deduction for redundancy detection in groundwater quality monitoring networks. Water Resour Res 44(8). https://doi.org/10.1029/2006WR005616
3. An JY, Meng FR, You ZH, Fang YH, Zhao YJ, & Zhang M (2016) Using the relevance vector machine model combined with local phase quantization to predict protein-protein interactions from protein sequences. BioMed Res Int. https://doi.org/10.1155/2016/4783801
4. Ahmadi A, Nasseri M, Solomatine DP (2019) Parametric uncertainty assessment of hydrological models: coupling UNEEC-P and a fuzzy general regression neural network. Hydrol Sci J 64(9):1080–1094. https://doi.org/10.1080/02626667.2019.1610565
5. Cigizoglu HK, Alp M (2006) Generalized regression neural network in modelling river sediment yield. Adv Eng Softw 37(2):63–68. https://doi.org/10.1016/j.advengsoft.2005.05.002
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. Double-transfer learning-based least squares wavelet support vector machine for water quality classification;Desalination and Water Treatment;2024-10
2. A novel robust intelligent fault diagnosis method for rolling bearings based on SPAVMD and WOA-LSSVM under noisy conditions;Measurement Science and Technology;2024-02-23
3. River water temperature prediction using hybrid machine learning coupled signal decomposition: EWT versus MODWT;Ecological Informatics;2023-12
4. Estimation of Unconfined Aquifer Transmissivity Using a Comparative Study of Machine Learning Models;Water Resources Management;2023-08-24
5. Non-parametric, semi-parametric, and machine learning models for river temperature frequency analysis at ungauged basins;Ecological Informatics;2023-07
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