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  5. Symbol recognition based on the model clonal selection

Symbol recognition based on the model clonal selection

N.M. Korablev, A.V. Legedina
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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.
Keywords: artificial immune system, recognition of characters, clonal selection, antibody, antigen