The analysis of how the choice of membership functions influences the quality of recognition system

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.