Runoff Predictions in a Semiarid Watershed by Convolutional Neural Networks Improved with Metaheuristic Algorithms and Forced with Reanalysis and Climate Data

IF 2.2 4区工程技术 Q2 ENGINEERING, CIVIL

Journal of Hydrologic Engineering Pub Date : 2023-07-01 DOI:10.1061/jhyeff.heeng-5920

Yamina Aoulmi, Nadir Marouf, K. Rasouli, M. Panahi

引用次数: 2

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基于元启发式算法改进的卷积神经网络对半干旱流域径流的预测

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Hydrologic Engineering 工程技术-工程：土木

CiteScore

4.60

自引率

4.20%

发文量

审稿时长

4.5 months

期刊介绍： The Journal of Hydrologic Engineering disseminates information on the development of new hydrologic methods, theories, and applications to current engineering problems. The journal publishes papers on analytical, numerical, and experimental methods for the investigation and modeling of hydrological processes.