CLIMATE PRECIPITATION PREDICTION FOR SOUTH REGION BY NEURAL NETWORK SELF-CONFIGURED
Climate prediction for precipitation field is a key issue, because such meteorological variable is the challenge for climate and weather forecasting due to the high spatial and temporal variability with strong impact on the society. A method based on the artificial neural network is applied to month...
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| Veröffentlicht in: | Ciência e natura 2016-01, Vol.38 (IX WORKSHOP), p.98 |
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| container_issue | IX WORKSHOP |
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| container_title | Ciência e natura |
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| creator | Juliana Aparecida Anochi Haroldo Fraga de Campos Velho |
| description | Climate prediction for precipitation field is a key issue, because such meteorological variable is the challenge for climate and weather forecasting due to the high spatial and temporal variability with strong impact on the society. A method based on the artificial neural network is applied to monthly and seasonal precipitation forecast in southern Brazil. The use of neural networks as a predictive model is widespread in different applications. The best configuration for the neural network is automatically calculated. The autoconfiguration scheme is described as an optimization problem. |
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| ispartof | Ciência e natura, 2016-01, Vol.38 (IX WORKSHOP), p.98 |
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| source | EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| title | CLIMATE PRECIPITATION PREDICTION FOR SOUTH REGION BY NEURAL NETWORK SELF-CONFIGURED |
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