To solve the problem of recognition of characters used in the work of one of the models of artificial immune systems - a model of clonal selection, which improved the editing process and sorting population of antibodies, thus improving the speed of learning. Also reduced the time character recognition by switching to a fixed-point calculations. The experimental results showing the effectiveness of the proposed approach.
artificial immune system, recognition of characters, clonal selection, antibody, antigen
"Raspoznavanye symvolov na osnove modely klonalnoi selektsyy" [Symbol recognition based on the model clonal selection],
Information Processing Systems,