Title :
`Winner-take-all´ circuit for neurocomputing applications
Author_Institution :
INFO-COM Dept., Roma, Italy
fDate :
10/1/1990 12:00:00 AM
Abstract :
The author proposes a parallel analogue implementation of the `winner-take-all´ function. It can be utilised in the hardware realisation of neurocomputer systems based on competitive learning, which find application in areas such as pattern classification, vector quantisation and image recognition. Analytic results are derived by means of the piecewise-linear method in the case of two variables and SPICE simulation results are presented in the general case. It is shown that the circuit exhibits some ad hoc properties that make it well suited for this kind of application
Keywords :
analogue computer circuits; brain models; circuit analysis computing; learning systems; neural nets; nonlinear network synthesis; piecewise-linear techniques; SPICE simulation; ad hoc properties; image recognition; neurocomputer systems; parallel analogue implementation; pattern classification; piecewise-linear method; vector quantisation; winner-take-all circuits;
Journal_Title :
Circuits, Devices and Systems, IEE Proceedings G
