The automated system of identification of distribution laws the Kohonen two-dimensional neural network
Автор: Irina Lyozina, Nikita Yashin
Журнал: Известия Самарского научного центра Российской академии наук @izvestiya-ssc
Рубрика: Интеллектуальные информационные системы
Статья в выпуске: 4-2 т.16, 2014 года.
Бесплатный доступ
This article describes the automated system developed by the authors to identify the distribution laws. The system uses a two-dimensional neural network (map) Kohonen learned by algorithms of WTA, Kohonen and neural gas. The article analyzes the results of identification and researches the dependence of the identification quality from network parameters.
Automated system, neural network, kohonen network, identification, distribution law, алгоритм wta, kohonen algorithm, the algorithm neural gas, the algorithm wta
Короткий адрес: https://sciup.org/148203207
IDR: 148203207
