Potential of support vector regression for prediction of monthly streamflow using endogenous property
Author:
Publisher
Wiley
Subject
Water Science and Technology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/hyp.7535/fullpdf
Reference21 articles.
1. Support vector machines for nonlinear state space reconstruction: Application to the Great Salt Lake time series;Asefa;Water Resources Research,2005
2. Downscaling precipitation to river basin in India for IPCC SRES scenarios using support vector machine;Anandhi;International Journal of Climatology,2008
3. Boser BE, Guyon I, Vapnik V. 1992. A training algorithm for optimal margin classifiers. Proceedings Fifth annual Workshop on Computational Learning Theory, Pittsburgh, 144-152. DOI: 10.1145/130385.130401.
4. Identification of support vector machines for runoff modelling;Bray;Journal of Hydroinformatics,2004
Cited by 134 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. Developing effective optimized machine learning approaches for settlement prediction of shallow foundation;Heliyon;2024-09
2. Streamflow prediction model for agriculture dominated tropical watershed using machine learning and hierarchical predictor selection algorithms;Journal of Hydrology: Regional Studies;2024-08
3. A comparison of machine learning methods for estimation of snow density using satellite images;Water and Environment Journal;2024-06-14
4. Application of Machine Learning Models for Improving Discharge Prediction in Ungauged Watershed: A Case Study in East DuPage, Illinois;Geographies;2024-06-06
5. An Index Used to Evaluate the Applicability of Mid-to-Long-Term Runoff Prediction in a Basin Based on Mutual Information;Water;2024-06-05
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