DocumentCode :
893545
Title :
The effect of weight quantization on the performance of linear decision functions
Author :
Tunis, C.J.
Volume :
55
Issue :
11
fYear :
1967
Firstpage :
2019
Lastpage :
2019
Abstract :
Adaptively derived linear decision boundaries are used in the recognition of typewritten numeric characters from a variety of fonts. During the adaption process, the weights are allowed to have as many quantization levels as required by the adaptive algorithm. Once these weights and their recognition rate on a test sample are determined, the number of quantization levels is successively reduced, and the effect on recognition rate is tabulated. System performance is maintained surprisingly well as the number of weight levels is reduced.
Keywords :
Adaptive algorithm; Character recognition; Convergence of numerical methods; Gallium nitride; PROM; Position measurement; Quantization; Shape measurement; System performance; System testing;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/PROC.1967.6039
Filename :
1447969
Link To Document :
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