Modular Wavelet–Extreme Learning Machine: a New Approach for Forecasting Daily Rainfall
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/s11269-019-02333-5.pdf
Reference40 articles.
1. Abdullah SS, Malek MA, Abdullah NS, Kisi O, Yap KS (2015) Extreme learning machines: a new approach for prediction of reference evapotranspiration. J Hydrol 527:184–195
2. Adamowski J, Sun K (2010) Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds. J Hydrol 390:85–91
3. Adamowski J, Chan HF (2011) Awavelet neural network conjunction model for groundwater level forecasting. J Hydrol 407:28–40
4. Al-geelani NA, Piah MAM, Shaddad RQ (2012) Characterization of acoustic signals due to surface discharges on H.V. glass insulators using wavelet radial basis function neural networks. Appl Soft Comput 12:1239–11246
5. Chan JCL, Shi JE (1999) Prediction of the summer monsoon rainfall over South China. Int J Climatol 19(11):1255–1265
Cited by 8 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. Machine-learning-based short-term forecasting of daily precipitation in different climate regions across the contiguous United States;Expert Systems with Applications;2024-03
2. Soft Computing Techniques for Weather Forecasting: A Review;Algorithms for Intelligent Systems;2023
3. Meliorative Temporo-Spatial Lstm Model for Rainfall Forecasting;2023
4. A Comparative Study of Data-driven Models for Groundwater Level Forecasting;Water Resources Management;2022-05-18
5. Modeling long-term rainfall-runoff time series through wavelet-weighted regularization extreme learning machine;Earth Science Informatics;2021-03-26
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