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pro vyhledávání: '"Ester Stienstra"'
Autor:
Sumeet S. Kumar, Ester Stienstra, Carlo Galuzzi, Amir Zjajo, Xuefei You, Johan Mes, Rene van Leuken
Publikováno v:
SAMOS
INTERNATIONAL CONFERENCE ON EMBEDDED COMPUTER SYSTEMS: ARCHITECTURES, MODELING, AND SIMULATION (SAMOS 2017), 113-120
STARTPAGE=113;ENDPAGE=120;TITLE=INTERNATIONAL CONFERENCE ON EMBEDDED COMPUTER SYSTEMS: ARCHITECTURES, MODELING, AND SIMULATION (SAMOS 2017)
INTERNATIONAL CONFERENCE ON EMBEDDED COMPUTER SYSTEMS: ARCHITECTURES, MODELING, AND SIMULATION (SAMOS 2017), 113-120
STARTPAGE=113;ENDPAGE=120;TITLE=INTERNATIONAL CONFERENCE ON EMBEDDED COMPUTER SYSTEMS: ARCHITECTURES, MODELING, AND SIMULATION (SAMOS 2017)
The Self-Organizing Map (SOM) is a recurrent neural network topology that realizes competitive learning for the unsupervised classification of data. In this paper, we investigate the design of a spiking neural network-based SOM for the classification