Predikce meteorologických jevů pomocí neuronových sítí

Abstract

This thesis deals with the problem of short term rainfall prediction using neural networks. The method developed by us uses only radar images provided by ČHMÚ from CZRAD radar network to predict precipitation development. Genetic algorithms, differential evolution and SOMA, the methods that belongs to the category of evolutionary algorithms, have been tested to learn neural network.