Rule-Base Parameter Optimization for a Multi-Stroke Fuzzy-Based Character Recognizer
Alex Tormási, László Tamás Kóczy · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2015
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.