Exploring Bayesian model averaging with multiple ANNs for meteorological drought forecasts

Atmospheric pressure; Bayesian networks; Climatology; Drought; Neural networks; Water management; Weather forecasting; ANN; Bayesian model averaging; Meteorological drought; Optimization algorithms; Salp swarms; Sine-cosine algorithm; Standardized precipitation index; Swarm algorithms; Water resourc...

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Bibliographic Details
Main Authors: Achite M., Banadkooki F.B., Ehteram M., Bouharira A., Ahmed A.N., Elshafie A.
Other Authors: 6506127655
Format: Article
Published: Springer Science and Business Media Deutschland GmbH 2023
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Summary:Atmospheric pressure; Bayesian networks; Climatology; Drought; Neural networks; Water management; Weather forecasting; ANN; Bayesian model averaging; Meteorological drought; Optimization algorithms; Salp swarms; Sine-cosine algorithm; Standardized precipitation index; Swarm algorithms; Water resources management; Water striders; Particle swarm optimization (PSO); accuracy assessment; algorithm; artificial neural network; Bayesian analysis; drought; El Nino-Southern Oscillation; North Atlantic Oscillation; optimization; Pacific Decadal Oscillation; precipitation assessment; Southern Oscillation; weather forecasting