An analog processor architecture for a neural network classifier | IEEE Journals & Magazine | IEEE Xplore

An analog processor architecture for a neural network classifier


Abstract:

Many neural-like algorithms currently under study support classification tasks. Several of these algorithms base their functionality on LVQ-like procedures to find locati...Show More

Abstract:

Many neural-like algorithms currently under study support classification tasks. Several of these algorithms base their functionality on LVQ-like procedures to find locations of centroids in the data space, and on kernel (or radial-basis) functions centered on these centroids to approximate functions or probability densities. A generic analog chip could implement in a parallel way all basic functions found in these algorithms, permitting construction of a fast, portable classification system.<>
Published in: IEEE Micro ( Volume: 14, Issue: 3, June 1994)
Page(s): 16 - 28
Date of Publication: 30 June 1994

ISSN Information:


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