Artificial Neural Networks Identification: mayor step towards integrative taxonomy

VAŇHARA, Jaromír, Milada BOCÁKOVÁ, Peter FEDOR, Kristýna JANIŠOVÁ, Eladia Maria PEŇA MÉNDEZ, Natália MURÁRIKOVÁ and Josef HAVEL. Artificial Neural Networks Identification: mayor step towards integrative taxonomy. In Integrative biology: From ecology to molecules. 2012.

Basic information

Original name

Artificial Neural Networks Identification: mayor step towards integrative taxonomy

Name in Czech

ANN determinace: velký krok k integrativni taxonomii.

Authors

VAŇHARA, Jaromír (203 Czech Republic, guarantor, belonging to the institution), Milada BOCÁKOVÁ (203 Czech Republic, belonging to the institution), Peter FEDOR (703 Slovakia), Kristýna JANIŠOVÁ (203 Czech Republic, belonging to the institution), Eladia Maria PEŇA MÉNDEZ (724 Spain), Natália MURÁRIKOVÁ (703 Slovakia) and Josef HAVEL (203 Czech Republic, belonging to the institution)

Edition

Integrative biology: From ecology to molecules, 2012

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Other information

Language

English

Type of outcome

Konferenční abstrakt

Field of Study

10600 1.6 Biological sciences

Country of publisher

Belgium

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

RIV identification code

RIV/00216224:14310/12:00064407

Organization unit

Faculty of Science

Keywords (in Czech)

ANN;hmyz;integrativní taxonomie

Keywords in English

ANN;insects;integrative taxonomy

Tags

ANN, Artificial Intelligence, artificial neural networks, insect identification

Tags

International impact

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Abstract

V originále

Identification in entomology, based on several independent methodological accesses, is not frequent. Artificial Neural Networks (ANN) are used here, as a part of an integrative taxonomy approach, together with morphological or molecular evaluation. The advantages of ANN include an ability to learn from examples and to generalize observed characters. ANN are able to help us not only with species identification but also with resolution of some taxonomic problems.

In Czech

Identifikace v entomologii, založená na několika nezávislých metodologických přístupech není častá. Artificial Neural Networks (ANN) jsou zde použity jako součást integrativního taxonomického přístupu, spolu s morfologickým a molekulárním hodnocení.