Unit:
Κατεύθυνση ΒιοπληροφορικήLibrary of the School of Science
Author:
Chalkiadaki Aikaterini
Supervisors info:
1. Αναστάσιος Λεγάκις, Αναπληρωτής Καθηγητής, Τμήμα Βιολογίας, ΕΚΠΑ (Επιβλέπων)
2. Αριστείδης Παρμακέλης, Επικουρος Καθηγητής, Τμήμα Βιολογίας, ΕΚΠΑ
3. Άρτεμις Νικολαΐδου, Καθηγήτρια, Τμήμα Βιολογίας, ΕΚΠΑ
Original Title:
Χρήση νευρωνικών δικτύων και αλγορίθμων συνεργικής αναγνώρισης προτύπων για τον προσδιορισμό φωνών εντοπισμού νυχτερίδων
Translated title:
Use of neural networks and algorithms synergistic pattern recognition to identify calls of bats echolocation
Summary:
This thesis is acquaintance with the unknown and misunderstood mammals the bats. Analyzes the specific characteristics and makes extensive reference to the sounds they emit. Mention the importance of these sounds for survival and socialization of these mammals and lists the differences between species and the areas they are located. Describe the ways and methods to be used for observing and storing the voices of bats, the technology and the operation of bat detectors. Specifying the species that exist in Europe and Greece. Developed ways to classify the types of parameters based on the sounds they emit. Designed neural network classification of species and presentation of results.
Main subject category:
Technology - Computer science
Keywords:
Bats, sounds, classification of species, technical neural networks
File:
File access is restricted only to the intranet of UoA.
Χαλκιαδάκη Αικατερίνη Διπλωματική.pdf
2 MB
File access is restricted only to the intranet of UoA.
