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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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