Feature Selection Using Genetic Algorithms for Handwritten Character Recognition (2000)
by
Gyeonghwan Kim
,
Sekwang Kim
,
Turbo Tek
,
Sungnam Kyungki
| Citations: | 13 - 0 self |
BibTeX
@MISC{Kim00featureselection,
author = {Gyeonghwan Kim and Sekwang Kim and Turbo Tek and Sungnam Kyungki},
title = {Feature Selection Using Genetic Algorithms for Handwritten Character Recognition},
year = {2000}
}
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Abstract
this paper, we introduce a feature selection method, which can minimize most of the problems can be found in the conventional approaches, by applying genetic algorithms(GA) which recently received considerable attention regarding their potential as an optimization technique for complex problems. Genetic algorithms are stochastic search technique based on the mechanism of natural selection and natural genetics.
