Elucidating the role of topological pattern discovery and support vector machine in generating predictive models for Indian summer monsoon rainfall
Author:
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
http://link.springer.com/content/pdf/10.1007/s00704-015-1544-5.pdf
Reference78 articles.
1. Acharya N, Chattopadhyay S, Kulkarni MA, Mohanty UC (2012) A neurocomputing approach to predict monsoon rainfall in monthly scale using SST anomaly as a predictor. Acta Geophys 60(1):260–279
2. Ballabio C, Sterlacchini S (2012) Support vector machines for landslide susceptibility mapping: the Staffora River Basin case study, Italy. Math Geosci 44(1):47–70
3. Behzad M, Asghari K, Eazi M, Palhang M (2009) Generalization performance of support vector machines and neural networks in runoff modelling. Expert Syst Appl 36(4):7624–7629
4. Blackwell C (2014) Power law or lognormal? Distribution of normalized hurricane damages in the United States, 1900–2005. Nat Hazard Rev 04014024
5. Cannon AJ, McKendry IG (1999) Forecasting all-India summer monsoon rainfall using regional circulation principal components: a comparison between neural network and multiple regression models. Int J Climatol 19(14):1561–1578
Cited by 10 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. Sensorless Current Prediction of a Three-Phase Inverter Using Machine Learning Algorithms;Advances in Engineering Research;2023
2. Prediction of Rainfall Using Different Machine Learning Regression Models;Computational Intelligence and Data Analytics;2022-09-02
3. Machine Learning based Rainfall Prediction;2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS);2020-03
4. A Review of Service Assessment Attributes and Improvement Strategies for Public Transport;Transportation in Developing Economies;2018-11-03
5. Predictability assessment of northeast monsoon rainfall in India using sea surface temperature anomaly through statistical and machine learning techniques;Environmetrics;2018-09-19
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