Neural network modeling of hydrological systems: A review of implementation techniques
Author:
Affiliation:
1. Department of Civil Engineering, Centre for Research in Environmental, Coastal and Hydrological Engineering (CRECHE)University of KwaZulu‐NatalDurban South Africa
Publisher
Wiley
Subject
Environmental Science (miscellaneous),Modeling and Simulation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/nrm.12189
Reference67 articles.
1. Neural networks training based on differential evolution al‐gorithm compared with other architectures for weather forecasting34;Abdul‐Kader H.;International Journal of Computer Science and Network Security,2009
2. Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting
3. Towards a hydrological research agenda;Abrahart R. J.;Neural Networks for Hydrological Modeling,2004
4. Multi-model data fusion for river flow forecasting: an evaluation of six alternative methods based on two contrasting catchments
5. River Flow Forecasting Using an Improved Artificial Neural Network
Cited by 66 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. A new method for monthly streamflow prediction using multi-source data: range-dependent multivariate adaptive regression splines–genetic algorithm;Hydrological Sciences Journal;2024-09-12
2. Runoff Prediction for Hydrological Applications Using an INFO-Optimized Deep Learning Model;Processes;2024-08-22
3. Integrated metaheuristic algorithms with extreme learning machine models for river streamflow prediction;Scientific Reports;2024-06-12
4. Predicting reservoir sedimentation using multilayer perceptron – Artificial neural network model with measured and forecasted hydrometeorological data in Gibe-III reservoir, Omo-Gibe River basin, Ethiopia;Journal of Environmental Management;2024-05
5. Estimating water levels and discharges in tidal rivers and estuaries: Review of machine learning approaches;Environmental Modelling & Software;2024-05
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