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Linearly Separable Codes for Adaptive Threshold Networks | IEEE Journals & Magazine | IEEE Xplore

Linearly Separable Codes for Adaptive Threshold Networks


Abstract:

The significance of the coding assignment in linear threshold networks used for pattern recognition has been discussed. A heuristic procedure for generating linearly sepa...Show More

Abstract:

The significance of the coding assignment in linear threshold networks used for pattern recognition has been discussed. A heuristic procedure for generating linearly separable codes for a sample set of patterns has been outlined. Experimental results showing the recognition performance of codes so chosen have been shown. The performance of these codes is comparable to the 1-out-of-n code commonly used, but more optimum codes may exist. More work on the coding assignment problem is in order and should allow more efficient linear threshold networks in the pattern recognition application.
Published in: IEEE Transactions on Electronic Computers ( Volume: EC-14, Issue: 6, December 1965)
Page(s): 935 - 936
Date of Publication: 26 December 2006
Print ISSN: 0367-7508

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