Prediction of bedload transport rate using a block combined network structure
Author:
Affiliation:
1. Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
2. Department of Civil Engineering, Roudehen Branch, Islamic Azad University, Roudehen, Iran
Publisher
Informa UK Limited
Subject
Water Science and Technology
Link
https://www.tandfonline.com/doi/pdf/10.1080/02626667.2021.2003367
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1. An Optimized Artificial Neural Network Structure to Predict Clay Sensitivity in a High Landslide Prone Area Using Piezocone Penetration Test (CPTu) Data: A Case Study in Southwest of Sweden
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5. Distributed Hydrological Modelling
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