Local Maximum Ozone Concentration Prediction Using Neural Networks

Dominik Wieland and Franz Wotawa

This paper describes the use of Artificial Neural Networks (ANNs) for the short term prediction of maximum ozone concentrations in the East Austrian region. Various Multilayer Perceptron topologies (MLPs), Elman Networks (EN) and Modified Elman Networks (MEN) were tested. The individual models used ozone, temperature, cloud cover and wind data taken from the summer months from 1995 and 1996. The achieved results were satisfactory. Comparisons with alternative models showed that the neural approaches used in this study were superior.


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