Particle swarm optimization based LSTM networks for water level forecasting: A case study on Bangladesh river network-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Particle swarm optimization based LSTM networks for water level forecasting: A case study on Bangladesh river network

Published:2023-03 Issue: Volume:17 Page:100951
ISSN:2590-1230
Container-title:Results in Engineering
language:en
Short-container-title:Results in Engineering

Author:

Ruma Jannatul Ferdous,Adnan Mohammed Sarfaraz Gani,Dewan Ashraf,Rahman Rashedur M.^ORCID

Publisher

Elsevier BV

Subject

General Engineering

Reference55 articles.

1. Forecasting water level of Glacial fed perennial river using a genetically optimized hybrid Machine learning model;Imran;Mater. Today Proc.,2021

2. A hybrid model for river water level forecasting: cases of Xiangjiang River and Yuanjiang River, China;Li;J. Hydrol.,2020

3. IMPACT OF CLIMATE CHANGE ON FLOODS OF BANGLADESH AND INTRODUCING FLOOD INTENSITY INDEX TO CHARACTERIZE THE FLOODING SCENARIO;Ali,2012

4. Paudyal GN. Forecasting and warning of water-related disasters in a complex hydraulic setting—the case of Bangladesh. Https://DoiOrg/101080/02626660209493018 2009;47:S5–18. https://doi.org/10.1080/02626660209493018.

5. Development of a sequential Artificial Neural Network for predicting river water levels based on Brahmaputra and Ganges water levels;Siddiquee;Neural Comput. Appl.,2015

Cited by 39 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. Analysis and projection of market concentration for mobile internet operators in Colombia;Results in Engineering;2024-09

2. Enhancing road traffic flow prediction with improved deep learning using wavelet transforms;Results in Engineering;2024-09

3. Hydraulic and Hydroclimatic impact on dam seepage of civil and structural mechanisms with application of deep learning models;Results in Engineering;2024-09

4. Enhancing the performance of deep learning models with fuzzy c-means clustering;Knowledge and Information Systems;2024-08-24

5. Application of wavelet-based multivariate long short-term memory models in prediction of stage for Teesta River, India;Journal of Hydroinformatics;2024-08-01

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