Artificial neural models of concentrations of fungal spores in the air for aerobiological research

Abstract

This article describes in detail an advanced statistical method, the artificial neural network, and the possibilities for its application in aerobiological analyses. The study and models involve the concentration of fungal spores in the air and their relationship with various biological and environmental factors. The author hopes that this work will contribute to a wider use of this method not only in the study of spores but also the concentration of pollen grains.