Nonlinear multi independent variables in quantifying river bank erosion using Neural Network AutoRegressive eXogenous (NNARX) model-Reference-Cited by-同舟云学术

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Nonlinear multi independent variables in quantifying river bank erosion using Neural Network AutoRegressive eXogenous (NNARX) model

Published:2024-02 Issue:4 Volume:10 Page:e26252
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Saadon Azlinda^ORCID,Abdullah Jazuri,Mohd Yassin Ihsan,Muhammad Nur Shazwani,Ariffin Junaidah

Publisher

Elsevier BV

Reference60 articles.

1. A review of erosion and sediment transport models;Merritt;Environ. Model. Software,2003

2. Predictive models for the estimation of riverbank erosion rates;Saadon;Catena,2021

3. An investigation of controlling variables of riverbank erosion in sub-tropical Australia;McMahon;Environ. Model. Software,2017

4. The impact of land use and climate change on late Holocene and future suspended sediment yield of the Meuse catchment;Ward;Geomorphology,2009

5. Factors controlling sediment yield from small intensively cultivated catchments in a temperate humid climate;Verstraeten;Geomorphology,2001

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