Silicon cochlea: A digital VLSI implementation of a quantitative model of the auditory system

1999 ◽  
Vol 105 (2) ◽  
pp. 1192-1192 ◽  
Author(s):  
Matthias Brucke ◽  
Wofgang Nebel ◽  
Alexander Schwarz ◽  
Bärbel Mertsching ◽  
Martin Hansen ◽  
...  
2015 ◽  
Vol 23 (3) ◽  
pp. 842-854 ◽  
Author(s):  
Macarena Cristina Martinez-Rodriguez ◽  
Piedad Brox ◽  
Iluminada Baturone

2000 ◽  
Vol 10 (03) ◽  
pp. 159-170 ◽  
Author(s):  
Davide Anguita ◽  
Andrea Boni ◽  
Sandro Ridella

In this paper, we propose some very simple algorithms and architectures for a digital VLSI implementation of Support Vector Machines. We discuss the main aspects concerning the realization of the learning phase of SVMs, with special attention on the effects of fixed-point math for computing and storing the parameters of the network. Some experiments on two classification problems are described that show the efficiency of the proposed methods in reaching optimal solutions with reaonable hardware requirements.


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