Deep echo state network: a novel machine learning approach to model dew point temperature using meteorological variables-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Deep echo state network: a novel machine learning approach to model dew point temperature using meteorological variables

Published:2020-03-10 Issue:7 Volume:65 Page:1173-1190
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Alizamir Meysam¹,Kim Sungwon²,Kisi Ozgur³,Zounemat-Kermani Mohammad⁴

Affiliation:

1. Department of Civil Engineering, Hamedan Branch, Islamic Azad University, Hamedan, Iran

2. Department of Railroad Construction and Safety Engineering, Dongyang University, Yeongju, Republic of Korea

3. Department of Civil Engineering, Ilia State University, Tbilisi, Georgia

4. Department of Water Engineering, Shahid Bahonar University of Kerman, Kerman, Iran

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2020.1735639

Reference67 articles.

1. Deep Highway Networks and Tree-Based Ensemble for Predicting Short-Term Building Energy Consumption

2. Modelling long-term groundwater fluctuations by extreme learning machine using hydro-climatic data

3. Prediction of Daily Dewpoint Temperature Using a Model Combining the Support Vector Machine with Firefly Algorithm

4. Contribution of parallel NSGA-II in optimal design of water distribution networks

5. A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm

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. A Novel Memristors Based Echo State Network Model Inspired by the Brain’s Uni-hemispheric Slow-Wave Sleep Characteristics;Cognitive Computation;2024-06-10

2. FOA-ESN in tourism demand forecasting from the perspective of sustainable development;International Journal of Knowledge-Based Development;2024

3. Sequence Prediction and Classification of Echo State Networks;Mathematics;2023-11-14

4. Sequence prediction with different dimensions based on two novel deep echo state network models;Transactions of the Institute of Measurement and Control;2023-10-21

5. Investigating hybrid deep learning models and meta-heuristic algorithms in predicting evaporation from a reservoir: a case study of Dez dam;Earth Science Informatics;2023-10-05

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