Two hybrid Artificial Intelligence approaches for modeling rainfall–runoff process
Author:
Publisher
Elsevier BV
Subject
Water Science and Technology
Reference53 articles.
1. Comparing neural network (NN) and auto regressive moving average (ARMA) techniques for the provision of continuous river flow forecasts in two contrasting catchments;Abrahart;Hydrol. Process.,2000
2. Development of a short-term river flood forecasting method for snowmelt driven floods based on wavelet and cross-wavelet analysis;Adamowski;J. Hydrol.,2008
3. River flow forecasting using wavelet and cross-wavelet transform models;Adamowski;Hydrol. Process.,2008
4. Wavelet transform analysis of open channel wake flows;Addison;J. Eng. Mech.,2001
5. An exploration of artificial neural network rainfall runoff forecasting combined with wavelet decomposition;Anctil;J. Environ. Eng. Sci.,2004
Cited by 278 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 Artificial Neural Network (ANN) and Wavelet Integrated Artificial Neural Network (W-ANN) Approaches for Rainfall Modeling of Southern Rajasthan, India;Current World Environment;2024-01-10
2. Groundwater Level Modeling Using Multiobjective Optimization with Hybrid Artificial Intelligence Methods;Environmental Modeling & Assessment;2023-11-03
3. Physical and artificial intelligence-based hybrid models for rainfall–runoff–sediment process modelling;Hydrological Sciences Journal;2023-08-23
4. Modeling the effect of meteorological variables on streamflow estimation: application of data mining techniques in mixed rainfall–snowmelt regime Munzur River, Türkiye;Environmental Science and Pollution Research;2023-08-12
5. Prediction of Solar Irradiation in Africa using Linear-Nonlinear Hybrid Models;Engineering, Technology & Applied Science Research;2023-08-09
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