Rule-Base Parameter Optimization for a Multi-Stroke Fuzzy-Based Character Recognizer
- https://doi.org/10.2991/ifsa-eusflat-15.2015.188How to use a DOI?
- Multi-stroke character recognizer, fuzzy classifier, fuzzy rule-base construction.
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/ifsa-eusflat-15.2015.188 ID - Tormasi2015/06 ER -