Artificial neural networks for insect identification.

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Authors	VAŇHARA Jaromír MURÁRIKOVÁ Natália MALENOVSKÝ Igor HAVEL Josef
Year of publication	2007
Type	Article in Periodical
Magazine / Source	The Tachinid Times
MU Faculty or unit	Faculty of Science
Citation
Web	http://www.nadsdiptera.org/Tach/TTimes/TT20.pdf
Field	Zoology
Keywords	artificial neural networks; species identification; Diptera; Tachinidae; Tachina; Ectophasia; parasitoids
Description	The classification methodology based on morphometric data and supervised artificial neural networks (ANN) was tested on five fly species of the parasitoid genera Tachina and Ectophasia (Diptera, Tachinidae). The methodology proposed is quite general and can be applied for all biological objects where it is possible to define adequate diagnostic characters and create the appropriate database.
Related projects:	Diversity of Biotic Communities and Populations: Causal Analysis of variation in space and time