A new method for runoff prediction error correction based on LS-SVM and a 4D copula joint distribution
Author:
Funder
National Science Fund for Distinguished Young Scholars
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Water Science and Technology
Reference34 articles.
1. Beersma, J.J., Buishand, T.A., 2004. Joint probability of precipitation and discharge deficits in the netherlands. Water Resour. Res. 40 (12), W12508.1–W12508.11.
2. Bogner, K., Pappenberger, F., 2011. Multiscale error analysis, correction, and predictive uncertainty estimation in a flood forecasting system. Water Resour. Res. 47 (7), W07524.1–W07524.24.
3. A generalized pareto intensity-duration model of storm rainfall exploiting 2-copulas;De Michele;J. Geophys. Res. Atmosp.,2003
4. An analysis of variable rate loan contracts;Cox;J. Finance,1980
5. Examining the effectiveness and robustness of sequential data assimilation methods for quantification of uncertainty in hydrologic forecasting;DeChant;Water Resour. Res.,2012
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. Research on Coupling Knowledge Embedding and Data-Driven Deep Learning Models for Runoff Prediction;Water;2024-07-27
2. A hybrid annual runoff prediction model using echo state network and gated recurrent unit based on sand cat swarm optimization with Markov chain error correction method;Journal of Hydroinformatics;2024-05-16
3. A Novel Runoff Prediction Model Based on Support Vector Machine and Gate Recurrent unit with Secondary Mode Decomposition;Water Resources Management;2024-02-06
4. An ensemble model for monthly runoff prediction using least squares support vector machine based on variational modal decomposition with dung beetle optimization algorithm and error correction strategy;Journal of Hydrology;2024-02
5. An ensemble CNN-LSTM and GRU adaptive weighting model based improved sparrow search algorithm for predicting runoff using historical meteorological and runoff data as input;Journal of Hydrology;2023-10
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