A Comparative Study on Forecasting of Long-term Daily Streamflow using ANN, ANFIS, BiLSTM and CNN-GRU-LSTM
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11269-023-03579-w.pdf
Reference33 articles.
1. Afan HA, Yafouz A, Birima AH, Ahmed AN, Kisi O, Chaplot B, El-Shafie A (2022) Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster. Nat Hazards 112:1527–1545. https://doi.org/10.1007/s11069-022-05237-7
2. Afsaneh E, Sharifdini A, Ghazzaghi H, Ghobadi MZ (2022) Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review. Diabetol Metab Syndr 14:1–39. https://doi.org/10.1186/s13098-022-00969-9
3. Bakhshi Ostadkalayeh F, Moradi S, Asadi A, Moghaddam Nia A, Taheri S (2023) Performance Improvement of LSTM-based Deep Learning Model for Streamflow Forecasting Using Kalman Filtering. Water Resour Manag 37:3111–3127. https://doi.org/10.1007/s11269-023-03492-2
4. Chaplot B, Birbal P (2022) Development of stage-discharge rating curve using ANN. Int J Hydrol Sci Technol 14:75–95. https://doi.org/10.1504/IJHST.2022.123643
5. Cho K, Van Merriënboer B, Gulcehre C, Bahdanau D, Bougares F, Schwenk H, Bengio Y (2014) Learning phrase representations using RNN encoder-decoder for statistical machine translation. https://doi.org/10.48550/arXiv.1406.1078
Cited by 3 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 Flooding Depth Forecasting Accuracy in an Urban Area Using a Novel Trend Forecasting Method;Water Resources Management;2024-01-10
2. Enhanced variational mode decomposition with deep learning SVM kernels for river streamflow forecasting;Environmental Earth Sciences;2023-11
3. Assessing the impacts of climate change on streamflow dynamics: A machine learning perspective;Water Science & Technology;2023-10-25
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