Pattern recognition with fuzzy neural network
Identifieur interne : 002C72 ( Main/Exploration ); précédent : 002C71; suivant : 002C73Pattern recognition with fuzzy neural network
Auteurs : V. Guštin [Slovénie] ; J. Virant [Slovénie]Source :
- Microprocessing and Microprogramming [ 0165-6074 ] ; 1994.
Abstract
This paper explains the character code recognition with the Boolean classifier. The binary values are used both for inputs and outputs, while the learning of the circuit with a set of patterns is done by modified algorithms used in some Boolean neural networks. The use of the fuzzy logic approach offers the possibility of creating a character recognition theory which is fault-tolerant and applicable to all sorts of typefaces and fonts. It provides several examples of patterns scanned with different resolutions and learned with a part of the same set of samples which demonstrates the quality of the fuzzy Boolea classifier.
Url:
DOI: 10.1016/0165-6074(94)90073-6
Affiliations:
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