Algebraic-logic synthesis of correct recognition procedures based on elementary algorithms
Computational Mathematics and Mathematical Physics
Models of recognition procedures with logical correctors
Pattern Recognition and Image Analysis
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A problem of constructing correct recognition algorithms on the basis of incorrect elementary classifiers is considered. A model of recognition procedures based on the construction of a family of logical correctors is proposed and analyzed. To this end, a genetic approach is applied that allows one, first, to reduce the computational cost and, second, to construct correctors with high recognition ability. This model is tested on real problems.