DocumentCode :
3245766
Title :
Automatic generation of hardware self-organizing map for FPGA implementation
Author :
Yamamoto, Kota ; Oba, Yoshiro ; Rikuhashi, Zuiko ; Hikawa, Hiroomi
Author_Institution :
Grad. Sch. of Sci. & Eng., Kansai Univ., Suita, Japan
fYear :
2011
fDate :
7-9 Dec. 2011
Firstpage :
1
Lastpage :
6
Abstract :
Self-organizing map (SOM) proposed by T. Kohonen is a neural network with unsupervised leaning to classify multidimensional vectors. The performance of the SOM implemented in software decreases as the number of neurons or vector dimention increases. Thus, performance acceleration of the SOM by the custom hardware is highly desired. However, compared to the SOM implemented in software, the modification of the hardware SOM design is still time-consuming task. This paper proposes a flexible hardware SOM configuration, and a computer program that generates VHSIC hardware description language (VHDL) code of the hardware SOM was developed.
Keywords :
field programmable gate arrays; hardware description languages; pattern classification; self-organising feature maps; unsupervised learning; FPGA implementation; VHSIC hardware description language code; computer program; hardware SOM configuration; hardware selforganizing map automatic generation; multidimensional vector classification; neural network; unsupervised leaning; Registers; Vectors; FPGA; Self organizing map; VHDL; generator; hardware;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing and Communications Systems (ISPACS), 2011 International Symposium on
Conference_Location :
Chiang Mai
Print_ISBN :
978-1-4577-2165-6
Type :
conf
DOI :
10.1109/ISPACS.2011.6146080
Filename :
6146080
Link To Document :
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