DocumentCode
1432210
Title
Winner-take-all discrete recurrent neural networks
Author
Yi, Zhang ; Heng, Pheng-Ann ; Fung, Ping-Fu
Author_Institution
Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Shatin, China
Volume
47
Issue
12
fYear
2000
fDate
12/1/2000 12:00:00 AM
Firstpage
1584
Lastpage
1589
Abstract
This paper proposes a discrete recurrent neural network has simple organizations and clear dynamic behaviors. The dynamic properties of the proposed winner-take-all networks are studied detail. Simulation results are given to show network performance. Since the network model is formulated as discrete time systems, it has advantages for computer simulations over digital simulations of a continuous time neural network model. Thus they can be easily implemented in digital hardware
Keywords
discrete time systems; performance evaluation; recurrent neural nets; WTA networks; discrete time systems; dynamic properties; network model; network performance; network time response; winner-take-all discrete recurrent neural networks; Circuits; Convergence; Difference equations; Digital signal processing; Nonlinear equations; Polynomials; Recurrent neural networks; Signal processing algorithms; Transversal filters;
fLanguage
English
Journal_Title
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7130
Type
jour
DOI
10.1109/82.899661
Filename
899661
Link To Document