Neurocomputing in surface water hydrology and hydraulics: a review of two decades retrospective, current status and future prospects

Neurocomputing methods have contributed significantly to the advancement of modelling techniques in surface water hydrology and hydraulics in the last couple of decades, primarily due to their vast performance advantages and usage amenity. This comprehensive review considers the research progress in...

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Bibliographic Details
Main Authors: Mohammad Zounemat-Kermani, Elena Matta, Andrea Cominola, Xilin Xia, Qing Zhang, Qiuhua Liang, Reinhard Hinkelmann
Format: Default Article
Published: 2020
Subjects:
Artificial neural networks
Machine learning
Hydroinformatics
Hydrosciences
Artificial intelligence
Soft computing
Online Access:https://hdl.handle.net/2134/12630158.v1
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