Detailed Information on Publication Record
2007
Artificial neural networks for insect identification.
VAŇHARA, Jaromír, Natália MURÁRIKOVÁ, Igor MALENOVSKÝ and Josef HAVELBasic information
Original name
Artificial neural networks for insect identification.
Name in Czech
Umělé neuronové sítě pro identifikaci hmyzu.
Authors
VAŇHARA, Jaromír (203 Czech Republic, guarantor, belonging to the institution), Natália MURÁRIKOVÁ (703 Slovakia, belonging to the institution), Igor MALENOVSKÝ (203 Czech Republic, belonging to the institution) and Josef HAVEL (203 Czech Republic, belonging to the institution)
Edition
The Tachinid Times, Ottawa, Agriculture Canada, 2007, 1802-128X
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10600 1.6 Biological sciences
Country of publisher
Canada
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
RIV identification code
RIV/00216224:14310/07:00023703
Organization unit
Faculty of Science
Keywords in English
artificial neural networks; species identification; Diptera; Tachinidae; Tachina; Ectophasia; parasitoids
Tags
Tags
International impact
Změněno: 5/1/2011 12:26, prof. RNDr. Jaromír Vaňhara, CSc.
V originále
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.
In Czech
Metoda determinace založená na morfometrických znacích a vyhodnocovaná pomoci umělých neuronových sítí (ANN)byla testována na 5 druzích dvoukřídlého hmyzu rodů Tachina and Ectophasia (Diptera, Tachinidae).
Links
| MSM0021622416, plan (intention) |
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