METHODS OF Z-CLASSIFIERS LEARNING

Abstract

The use of genetic and gradient algorithms for learning classifiers based on Z-model was considered. Combined method of consistent applying this algorithms was offered. The resulting method allows to calculate all model parameters including integer ones and provides acceptable model training quality.

Keywords

• классификаторы
• обучение классификаторов
• генетические алгоритмы
• градиентные алгоритмы