Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree
Author:
Funder
The Turkish Academy of Sciences
Publisher
Elsevier BV
Subject
Water Science and Technology
Reference40 articles.
1. Prediction of daily pan evaporation using wavelet neural networks;Abghari;Water Resour. Manage,2012
2. Comparison of multivariate adaptive regression splines with coupled wavelet transform artificial neural networks for runoff forecasting in Himalayan micro-watersheds with limited data;Adamowski;J. Hydroinform.,2012
3. Estimating daily pan evaporation with artificial neural networks;Bruton;T Asae,2000
4. Accurately predicting building energy performance using evolutionary multivariate adaptive regression splines;Cheng;Appl. Soft Comput.,2014
5. Estimation of daily evaporation using artificial neural networks;Dogan;Tek Dergi,2007
Cited by 207 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. Comparative analysis of data driven rainfall-runoff models in the Kolar river basin;Results in Engineering;2024-09
2. Comparing Artificial Neural Networks and Regression-based Methods for Modeling Daily Dissolved Oxygen Concentration: A Study Based on Long-term Monitored Data;KSCE Journal of Civil Engineering;2024-08-05
3. A novel modeling approach on the water–electricity–climate nexus in the context of resource sustainability;Clean Technologies and Environmental Policy;2024-08-01
4. Forecast of chlorophyll-a concentration as an indicator of phytoplankton biomass in El Val reservoir by utilizing various machine learning techniques: A case study in Ebro river basin, Spain;Journal of Hydrology;2024-08
5. Regression Method in Data Mining: A Systematic Literature Review;Archives of Computational Methods in Engineering;2024-03-27
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