Predicting reservoir sedimentation using multilayer perceptron – Artificial neural network model with measured and forecasted hydrometeorological data in Gibe-III reservoir, Omo-Gibe River basin, Ethiopia-Reference-Cited by-同舟云学术

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Predicting reservoir sedimentation using multilayer perceptron – Artificial neural network model with measured and forecasted hydrometeorological data in Gibe-III reservoir, Omo-Gibe River basin, Ethiopia

Published:2024-05 Issue: Volume:359 Page:121018
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Lukas Paulos,Melesse Assefa M.,Kenea Tadesse Tujuba^ORCID

Publisher

Elsevier BV

Reference76 articles.

1. A review of uncertainty quantification in deep learning : techniques , applications and challenges;Abdar;Inf. Fusion,2021

2. Environmental Risk Assessment of Wetland Ecosystems Using Bayesian Belief Networks;Abolfathi,2023

3. ANN Based Sediment Prediction Model Utilizing Different Input Scenarios;Afan,2015

4. Spatial and decadal prediction of land use/land cover using multi - layer perceptron - neural network (MLP - NN) algorithm for a semi - arid region of Asir , Saudi Arabia;Alqadhi;Earth Science Informatics,2021

5. Drivers , impacts and Mitigation of increased sedimentation in the hydropower reservoirs of East Africa;Amasi;Land,2021

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