CLIMATE PRECIPITATION PREDICTION FOR SOUTH REGION BY NEURAL NETWORK SELF-CONFIGURED

Authors

  • Juliana Aparecida Anochi Instituto Nacional de Pesquisas Espaciais - INPE
  • Haroldo Fraga de Campos Velho Instituto Nacional de Pesquisas Espaciais - INPE

DOI:

https://doi.org/10.5902/2179460X19968

Keywords:

Climate prediction. Precipitation. Neural network. Optimization. Data reduction.

Abstract

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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Published

2016-07-20

How to Cite

Anochi, J. A., & Velho, H. F. de C. (2016). CLIMATE PRECIPITATION PREDICTION FOR SOUTH REGION BY NEURAL NETWORK SELF-CONFIGURED. Ciência E Natura, 38, 98–104. https://doi.org/10.5902/2179460X19968

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