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.

Other information

• Original language: English
• Type of outcome: Conference abstract
• Field of Study: 10600 1.6 Biological sciences
• Country of publisher: Belgium
• Confidentiality degree: is not subject to a state or trade secret
• WWW: 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

Abstract

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.

Abstract (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.