Rule-Base Parameter Optimization for a Multi-Stroke Fuzzy-Based Character Recognizer

DOI

10.2991/ifsa-eusflat-15.2015.188How to use a DOI?

Keywords

Multi-stroke character recognizer, fuzzy classifier, fuzzy rule-base construction.

Abstract

In this paper the results of rule-base construction parameter optimization for a multi-stroke fuzzy character recognizer are compared. The experiment covers the investigation of the optimal number of samples used to build the rule-base and the parameter of the method to generate fuzzy sets from the training set collected from subjects. The various settings are evaluated with validation samples from the same group of test subjects.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Alex Tormasi
AU  - Laszlo T. Koczy
PY  - 2015/06
DA  - 2015/06
TI  - Rule-Base Parameter Optimization for a Multi-Stroke Fuzzy-Based Character Recognizer
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 1331
EP  - 1337
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.188
DO  - 10.2991/ifsa-eusflat-15.2015.188
ID  - Tormasi2015/06
ER  -