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@article{916138,
author = {Vaňhara, Jaromír and Havel, Josef and Fedor, Peter},
article_location = {Ottawa},
article_number = {1},
keywords = {ANN; methodology; entomology; Diptera},
language = {eng},
issn = {1802-128X},
journal = {The Tachinid Times},
title = {Artificial Neural Networks (ANN) in entomology},
url = {http://www.uoguelph.ca/nadsfly/Tach/TTimes/Tach23.htm},
volume = {23 (2010)},
year = {2010}
}
TY - JOUR
ID - 916138
AU - Vaňhara, Jaromír - Havel, Josef - Fedor, Peter
PY - 2010
TI - Artificial Neural Networks (ANN) in entomology
JF - The Tachinid Times
VL - 23 (2010)
IS - 1
SP - 9-13
EP - 9-13
PB - Agriculture & Agri-Food Canada
SN - 1802128X
KW - ANN
KW - methodology
KW - entomology
KW - Diptera
UR - http://www.uoguelph.ca/nadsfly/Tach/TTimes/Tach23.htm
N2 - To transform the taxonomic process it is necessary to increase the productivity of identification of biodiversity, including searching for new species, using new tools. Among such methods, the Artificial Neural Networks (ANN) methodology belonging to a class of artificial intelligence methods has been used by us, as a new challenge for modern taxonomy.
ER -
VAŇHARA, Jaromír, Josef HAVEL and Peter FEDOR. Artificial Neural Networks (ANN) in entomology. \textit{The Tachinid Times}. Ottawa: Agriculture \&{} Agri-Food Canada, 2010, 23 (2010), No~1, p.~9-13. ISSN~1802-128X.
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