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The self organizing map of neighbour stars and its kinematical interpretation

Autor
Hernandez, M.; Cubarsi, R.; Monte, E.
Tipus d'activitat
Article en revista
Revista
Neural networks
Data de publicació
1993-02
Volum
3
Pàgina inicial
311
Pàgina final
318
Repositori
http://hdl.handle.net/2117/97557 Obrir en finestra nova
Resum
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...
Citació
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.
Paraules clau
Neural network, Patiern recoqnitioti, Self-organizing map
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
IonSAT - Grup de determinació Ionosfèrica i navegació per SAtèl·lit i sistemes Terrestres
TALP - Centre de Tecnologies i Aplicacions del Llenguatge i la Parla
VEU - Grup de Tractament de la Parla
gAGE - Grup d'Astronomia i Geomatica

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