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National Repository of Grey Literature 1 records found  Search took 0.00 seconds. 
Artificial inteligence and its application in the coccolith determination
 Voženílková, Kristýna ; Holcová, Katarína (advisor) ; Svobodová, Andrea (referee)
Automatic determination of objects using neural networks has been applied in many fields of study, however, this approach has only rarely been used in paleontology. The goal of this bachelor thesis is to evaluate a method of automatic determination of coccoliths using neural networks. This method has been proposed by the Cogniware company. Cyclicargolithus floridanus and Cyclicargolithus abisectus have been chosen for the testing of the neural network. So far, the network has been trained to determine only C. floridanus, and managed to recognize the typical speciman of this species with 99% accuracy. This thesis provides a basic overview of the coccolith group and neural networks. It also describes the method used to prepare data for the neural network. Key words: calcareous nannoplankton, Reticulofenestra, morfology, artificial intelligence, neural network
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