Meteorological data mining for climate precipitation prediction using neural networks
Juliana Aparecida Anochi, Haroldo Fraga de Campos Velho · Journal of Computational Interdisciplinary Sciences · 2016
Climate precipitation prediction field is a key aspect in meteorology.The precipitation is a variable associated with natural disasters and can cause impacts in the several sectors of society.However, this is a meteorological variable that is difficult to predict because of large spatial and temporal variability.A method based on Artificial Neural Network (ANN) is applied to seasonal climate prediction precipitation in the Central-West region of Brazil, using the method of data reduction by the Rough Sets Theory.The dimensionality reduction process was used to extract relevant information from meteorological data to perform climate prediction.The results obtained in the conducted experiments show the effectiveness of the proposed methodology, presenting prediction similar to climatological situations considered as available observations in the database.