About: Artificial neural networks for fly identification: A case study from the genera Tachina and Ectophasia (Diptera, Tachinidae)

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About: Artificial neural networks for fly identification: A case study from the genera Tachina and Ectophasia (Diptera, Tachinidae) Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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). Objects were initially photographed, then digitalized; consequently the picture was scaled and measured by means of an image analyser. The 16 variables used for classification included length of different wing veins or their parts and width of antennal segments. The sex was found to have some influence on the data and was included in the study as another input variable. Better and reliable classification was obtained when data from both the right and left wings were entered, the data from one wing were however found to be sufficient. The prediction success (correct identification of unknown test samples) varied from 88 to 100% throughout the study depending especially on the number of specimens in the training set. 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). Objects were initially photographed, then digitalized; consequently the picture was scaled and measured by means of an image analyser. The 16 variables used for classification included length of different wing veins or their parts and width of antennal segments. The sex was found to have some influence on the data and was included in the study as another input variable. Better and reliable classification was obtained when data from both the right and left wings were entered, the data from one wing were however found to be sufficient. The prediction success (correct identification of unknown test samples) varied from 88 to 100% throughout the study depending especially on the number of specimens in the training set. (en)
Title	Artificial neural networks for fly identification: A case study from the genera Tachina and Ectophasia (Diptera, Tachinidae) Artificial neural networks for fly identification: A case study from the genera Tachina and Ectophasia (Diptera, Tachinidae) (en)
skos:prefLabel	Artificial neural networks for fly identification: A case study from the genera Tachina and Ectophasia (Diptera, Tachinidae) Artificial neural networks for fly identification: A case study from the genera Tachina and Ectophasia (Diptera, Tachinidae) (en)
skos:notation	RIV/00216224:14310/07:00023693!RIV10-MSM-14310___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM0021622416)
http://linked.open...iv/cisloPeriodika	4
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Havel, Josef Malenovský, Igor Muráriková, Natália Vaňhara, Jaromír
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Masarykova univerzita / Přírodovědecká fakulta
http://linked.open...dnocenehoVysledku	410763
http://linked.open...ai/riv/idVysledku	RIV/00216224:14310/07:00023693
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	artificial neural networks; species identification; Diptera; Tachinidae; Tachina; Ectophasia; parasitoids (en)
http://linked.open.../riv/klicoveSlovo	species identification parasitoids artificial neural networks Diptera Tachina Tachinidae Ectophasia
http://linked.open...odStatuVydavatele	SK - Slovenská republika
http://linked.open...ontrolniKodProRIV	[29E8F6EE8EB1]
http://linked.open...i/riv/nazevZdroje	Biologia
http://linked.open...in/vavai/riv/obor	EG
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...UplatneniVysledku	2007
http://linked.open...v/svazekPeriodika	62
http://linked.open...iv/tvurceVysledku	Havel, Josef Malenovský, Igor Muráriková, Natália Vaňhara, Jaromír
http://linked.open...ain/vavai/riv/wos	000249986300013
http://linked.open...n/vavai/riv/zamer	Diversity of Biotic Communities and Populations: Causal Analysis of variation in space and time
issn	1335-6372
number of pages	8 (xsd:int)
http://localhost/t...ganizacniJednotka	14310

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