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The self organizing map of neighbour stars and its kinematical interpretation

Author
Hernandez, M.; Cubarsi, R.; Monte, E.
Type of activity
Journal article
Journal
Neural networks
Date of publication
1993-02
Volume
3
First page
311
Last page
318
Repository
http://hdl.handle.net/2117/97557 Open in new window
Abstract
The Self-Organizing Map (SOM) is a neural network algorithm that has the special property ofcreating spatially organized tepresetüatioes of various features of input signals. The resulting maps resemble realneural structures found in the cortices of developed animal brains.: Also, the SOM. has been successful in various pattern recognition tasks involving noisy signals, as for instance, speech recognition and for this reason we are studying its application to some astronomical problems. In this...
Citation
Hernandez, M., Cubarsi, R., Monte, E. The self organizing map of neighbour stars and its kinematical interpretation. "Neural networks", Febrer 1993, vol. 3, p. 311-318.
Keywords
Neural network, Patiern recoqnitioti, Self-organizing map
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
IonSAT - Ionospheric determination and navigation based on Satellite And Terrestrial systems
TALP - Centre for Language and Speech Technologies and Applications
VEU - Speech Processing Group
gAGE - Research Group of Astronomy and Geomatics

Participants