Improved Wavelet Modeling Framework for Hydrologic Time Series Forecasting
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11269-013-0316-1.pdf
Reference38 articles.
1. Arabi M, Govindaraju RS, Hantush MM (2007) A probabilistic approach for analysis of uncertainty in the evaluation of watershed management practices. J Hydrol 333(2–4):459–471
2. Arora VK (2002) The use of the aridity index to assess climate change effect on annual runoff. J Hydrol 265:164–177
3. Aussem A, Campbell J, Murtagh F (1998) Wavelet-based feature extraction and decomposition strategies for financial forecasting. J Comput Intell Financ 6(2):5–12
4. Bagtzoglou AC, Hossain F (2009) Radial basis function neural network for hydrologic inversion: an appraisal with classical and spatio-temporal geostatistical techniques in the context of site characterization. Stoch Env Res Risk A 23(7):933–945
5. Carsten M, Morton C, Ralf K, Gunter M, Harry V, Frank W (2008) Modeling the water balance of a mesoscale catchment basin using remotely sensed land cover data. J Hydrol 353:322–334
Cited by 54 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. Artificial intelligence applications in the field of streamflow: a bibliometric analysis of recent trends;Hydrological Sciences Journal;2024-06-06
2. Reinforcement Learning-Based Prediction of Alarm Significance in Marginally Operating Electrical Grids;IEEE Transactions on Industrial Informatics;2024-04
3. Water resource management and flood mitigation: hybrid decomposition EMD-ANN model study under climate change;Sustainable Water Resources Management;2024-03-05
4. Forecasting Accuracy of Traditional Regression, Machine Learning, and Deep Learning: A Study of Environmental Emissions in Saudi Arabia;Sustainability;2023-10-17
5. Artificial Neural Network (ANN)-Based Long-Term Streamflow Forecasting Models Using Climate Indices for Three Tributaries of Goulburn River, Australia;Climate;2023-07-19
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