Turkish Journal of Botany
DOI
10.3906/bot-1909-35
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.
Keywords
Aerobiology, airborne fungal spores, artificial neural models, modeling, statistical techniques
First Page
703
Last Page
709
Recommended Citation
GRINN-GOFRON, AGNIESZKA
(2019)
"Artificial neural models of concentrations of fungal spores in the air for aerobiological research,"
Turkish Journal of Botany: Vol. 43:
No.
6, Article 1.
https://doi.org/10.3906/bot-1909-35
Available at:
https://journals.tubitak.gov.tr/botany/vol43/iss6/1
