Comparative Analysis of Event-based Rainfall-runoff Modeling Techniques—Deterministic, Statistical, and Artificial Neural Networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Comparative Analysis of Event-based Rainfall-runoff Modeling Techniques—Deterministic, Statistical, and Artificial Neural Networks

Published:2003-03 Issue:2 Volume:8 Page:93-98
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Jain Ashu¹,Indurthy S. K. V. Prasad²

Affiliation:

1. Assistant Professor, Dept. of Civil Engineering, Indian Institute of Technology—Kanpur, Kanpur 208 016, India (corresponding author).

2. Formerly, Graduate Student, Dept. of Civil Engineering, Indian Institute of Technology—Kanpur, Kanpur 208 016, India.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%291084-0699%282003%298%3A2%2893%29

Reference12 articles.

1. Neural networks and their applications

2. Forecasting the behavior of multivariate time series using neural networks

3. Chow V. T. Maidment D. R. and Mays L. W. (1988). Applied hydrology McGraw-Hill New York.

4. Eberhart R. C. and Dobbins R. W. (1990). Neural network PC tools: A practical guide Academic San Diego.

5. Physically based hydrologic modeling: 2. Is the concept realistic?

Cited by 115 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 hydrological process-based neural network model for hourly runoff forecasting;Environmental Modelling & Software;2024-05

2. Analysis of the utilization of machine learning to map flood susceptibility;2024

3. Does ANN really acquire the physics of the system? A study using conceptual components from an established water balance model;Journal of Hydroinformatics;2023-07-01

4. Artificial Neural Network Models for Rainfall-Runoff Modeling in India: Studies From the Kolar and Kuttiyadi River Watersheds;Ecosystem Restoration: Towards Sustainability and Resilient Development;2023

5. Hybrid model for daily runoff interval predictions based on Bayesian inference;Hydrological Sciences Journal;2022-12-02

同舟云学术

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