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...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , , |
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| مؤلفون آخرون: | |
| التنسيق: | مقال |
| منشور في: |
Springer Science and Business Media Deutschland GmbH
2023
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| الوسوم: |
إضافة وسم
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| الملخص: | 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 |
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