Artificial Neural Networks (ANN) in entomology.

VAŇHARA, Jaromír, Josef HAVEL and Peter FEDOR. Artificial Neural Networks (ANN) in entomology. 2nd ed. Tenerife, Spain : Universidad de La Laguna: Tenerife, Spain : Universidad de La Laguna, 2010.

Basic information

• Original name: Artificial Neural Networks (ANN) in entomology.
• Name in Czech: Artificial Neural Networks (ANN)v entomologii
• Authors: VAŇHARA, Jaromír, Josef HAVEL and Peter FEDOR.
• Edition: 2. vyd. Tenerife, Spain : Universidad de La Laguna, 2010.
• Publisher: Tenerife, Spain : Universidad de La Laguna

Other information

• Original language: English
• Type of outcome: Teaching aids, texts (including individual chapters in textbooks)
• Field of Study: 10600 1.6 Biological sciences
• Country of publisher: Spain
• Confidentiality degree: is not subject to a state or trade secret
• Organization unit: Faculty of Science
• Keywords in English: ANN; methodology; entomology; Diptera
• Tags: ANN insect identification, Artificial Intelligence, systematics, Tachinidae

Abstract

To transform the taxonomic process it is necessary to increase the productivity of identification of biodiversity, including searching for new species, using new tools. Among such methods, the Artificial Neural Networks (ANN) methodology belonging to a class of artificial intelligence methods has been used by us, as a new challenge for modern taxonomy.

Abstract (in Czech)

Transformace taxonomického procesu za pomoci nových nástrojů může zvýšit produktivitu determinace, včetně hledání nových druhů. Mezi ně patří Umělé neuronové sítě (ANN) náležející do metod umělé inteligence, které jsou zde využity pro potřeby moderní taxonomie.

Links

• MSM0021622416, plan (intention): Name: Diverzita biotických společenstev a populací: kauzální analýza variability v prostoru a čase

Investor: Ministry of Education, Youth and Sports of the CR, Diversity of Biotic Communities and Populations: Causal Analysis of variation in space and time