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

Agnieszka GRINN-GOFRON

Article Details

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

Authors:

Agnieszka GRINN-GOFRON

Publisher:

TUBITAK

Journal:

Turkish Journal of Botany 2019 Vol.43 Issue 6, pp.703-709

Document Type:

Article

Publication Date:

11/2019

Document Language:

English

Document ID (Org No.):

2000814721

Frequency:

Bimonthly

eISSN:

1303-6106

pISSN:

1300-008X

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.

Article Details

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

Authors: Agnieszka GRINN-GOFRON

Publisher: TUBITAK

Journal: Turkish Journal of Botany 2019 Vol.43 Issue 6, pp.703-709

Document Type: Article

Publication Date: 11/2019

Document Language: English

Document ID (Org No.): 2000814721

Frequency: Bimonthly

eISSN: 1303-6106

pISSN: 1300-008X

Issues

Authors:

Agnieszka GRINN-GOFRON

Publisher:

TUBITAK

Journal:

Turkish Journal of Botany 2019 Vol.43 Issue 6, pp.703-709

Document Type:

Article

Publication Date:

11/2019

Document Language:

English

Document ID (Org No.):

2000814721

Frequency:

Bimonthly

eISSN:

1303-6106

pISSN:

1300-008X