Streamflow prediction with large climate indices using several hybrid multilayer perceptrons and copula Bayesian model averaging

Streamflow prediction with large climate indices using several hybrid multilayer perceptrons and copula Bayesian model averaging

Streamflow prediction help the modelers to manage water resources in watersheds. It gives essential information for flood control and reservoir operation. This study uses the copula-based -Bayesian model averaging (CBMA) as an improved version of the BMA model for predicting streamflow in the Golok...

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Bibliographic Details
Main Authors: Fatemeh Panahi, Mohammad Ehteram, Ali Najah Ahmed, Yuk Feng Huang, Amir Mosavi, Ahmed El-Shafie
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Ecological Indicators
Subjects:
artificial neural network
multilayer perceptron
Copula Bayesian model
streamflow
inclusive multiple model
natural hazards
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X2100950X

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http://www.sciencedirect.com/science/article/pii/S1470160X2100950X

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