Computer aided identification of biological specimens using self-organizing maps

Computer aided identification of biological specimens using self-organizing maps

For scientific or socio-economic reasons it is often necessary or desirable that biological material be identified. Given that there are an estimated 10 million living organisms on Earth, the identification of biological material can be problematic. Consequently the services of taxonomist specialist...

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Bibliographic Details
Main Author: Dean, Eileen J
Other Authors: Engelbrecht, Andries P.
Published: 2013
Subjects:
Tree identification
Biological keys
Biological identification
Clustering and visualization
Ann
Artificial neural network
Ai
Artificial intelligence
Botanical identification
Acacia species
Self-organizing map
Unsupervised learning algorithm
Som
UCTD
Online Access:http://hdl.handle.net/2263/23116
Dean, EJ 2010, Computer aided identification of biological specimens using self-organizing maps, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/23116 >
http://upetd.up.ac.za/thesis/available/etd-01122011-033543/

Internet

http://hdl.handle.net/2263/23116
Dean, EJ 2010, Computer aided identification of biological specimens using self-organizing maps, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/23116 >
http://upetd.up.ac.za/thesis/available/etd-01122011-033543/

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