George Papadourakis

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A problem solving domain for the application of artificial intelligence (AI) methods towards knowledge discovery for the purposes of modelling and forecasting is urban air quality. This domain has the specific characteristic that the key parameters of interest (pollutant concentration criteria) have multiple temporal (and spatial) scales. The present paper(More)
The tremendous effects of air quality in large cities have been considered a severe environmental problem all over the world. Therefore, the international community agreed to develop air quality standards to monitor and control pollution rates around industrial communities. Harmful emission into the air is a sign that could extremely affect man's(More)
Air pollution can affect health and well-being of people and ecosystems. Due to the health risk posed for sensitive population groups, it is important to provide with hourly and daily forecasts of air pollution. One way to assess air pollution is to make use of the Common Air Quality Index (CAQI) of the European Environment Agency (EEA). In this paper we(More)
A popular approach to training feed-forward nets is to treat the problem of adaptation as a function approximation and to use curve fitting techniques. We discuss here the problems which the use of pure curve fitting techniques entail for the generalization capability and robustness of the net. These problems are in general inherently associated with the(More)