A Comparative Evaluation of the Use of Artificial Neural Networks for Modeling the Rainfall–Runoff Relationship in Water Resources Management-Reference-Cited by-同舟云学术

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A Comparative Evaluation of the Use of Artificial Neural Networks for Modeling the Rainfall–Runoff Relationship in Water Resources Management

Published:2021-05-01 Issue:5 Volume:22 Page:166-178
ISSN:2299-8993
Container-title:Journal of Ecological Engineering
language:
Short-container-title:J. Ecol. Eng.

Author:

Turhan Evren^ORCID

Publisher

Wydawnictwo Naukowe Gabriel Borowski (WNGB)

Subject

General Environmental Science,Ecology, Evolution, Behavior and Systematics

Link

http://www.jeeng.net/pdf-135775-64351

Cited by 11 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. Development and application of a hybrid artificial neural network model for simulating future stream flows in catchments with limited in situ observed data;Journal of Hydroinformatics;2024-07-19

2. Unleashing the power of AI: revolutionizing runoff prediction beyond NRCS-CN method;Arabian Journal of Geosciences;2024-06-26

3. Modeling runoff in Bhima River catchment, India: A comparison of artificial neural networks and empirical models;Water Practice & Technology;2024-06-14

4. Estimating river discharge from rainfall satellite data through simple statistical models;Theoretical and Applied Climatology;2023-05-02

5. Monthly streamflow prediction and performance comparison of machine learning and deep learning methods;Acta Geophysica;2023-01-24

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