DocumentCode
1990307
Title
Recurrent neural network as a KWTA selector: A synthesis procedure
Author
Costea, Ruxandra L. ; Marinov, Corneliu A.
Author_Institution
Dept. of Electr. Eng., Polytech. Univ. of Bucharest, Bucharest, Romania
fYear
2011
fDate
15-18 May 2011
Firstpage
1093
Lastpage
1096
Abstract
A recurrent continuous time Hopfleld network is rigorously designed to find the K largest elements in a list of currents. Simple formulae link the given parameters (as list separation and the processing time) with computed constants (as gain of amplifiers and interconnection conductance). The results unveil ways of improving circuit performances.
Keywords
Hopfield neural nets; electric admittance; network synthesis; KWTA selector; amplifier gain; circuit performances; interconnection conductance; recurrent continuous time Hopfleld network; recurrent neural network; synthesis procedure; Artificial neural networks; Integrated circuit interconnections; Neurons; Recurrent neural networks; Sorting; Steady-state; Transient analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (ISCAS), 2011 IEEE International Symposium on
Conference_Location
Rio de Janeiro
ISSN
0271-4302
Print_ISBN
978-1-4244-9473-6
Electronic_ISBN
0271-4302
Type
conf
DOI
10.1109/ISCAS.2011.5937760
Filename
5937760
Link To Document