Title :
The analysis of how the choice of membership functions influences the quality of recognition system
Author :
Aliyeva, Nigar ; Ismayilov, Elviz
Author_Institution :
Inst. of Inf. Technol., Baku, Azerbaijan
Abstract :
Was analyzed effectiveness of the hand-printed recognition system using neuro-fuzzy network with membership functions from different classes. For pattern features was constructed smooth membership functions, and also known triangular, trapezoidal, Gaussian and bell membership functions. Analyzed results of numerical experiments of recognition system with membership functions from different classes. Revealed comparative advantage of smooth membership functions offered by authors.
Keywords :
fuzzy neural nets; handwritten character recognition; Gaussian membership function; bell membership function; hand-printed recognition system; neuro-fuzzy network; smooth membership function; trapezoidal membership function; triangular membership function; Character recognition; Feature extraction; Fuzzy neural networks; Fuzzy sets; Neural networks; Text recognition; Training; feature extraction; hand-printed recognition system; neuro-fuzzy network; smooth membership functions;
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA), 2012 International Symposium on
Conference_Location :
Trabzon
Print_ISBN :
978-1-4673-1446-6
DOI :
10.1109/INISTA.2012.6247019
