Application of Neural Network Approach to Forecasting the Service Product Store

Authors

  • T. V. Gruzdeva Kalashnikov Izhevsk State Technical University

Keywords:

service product, additional services of store, predicting the response to services offer, neural network models

Abstract

The possibility of neural network models application to predict the response of retail trade store customers on services offer is considered. The algorithm of neural networks formation and application is presented within a package of statistical processing of experimental data.

Author Biography

T. V. Gruzdeva, Kalashnikov Izhevsk State Technical University

Kalashnikov Izhevsk State Technical University

References

Уоссермен Ф. Нейрокомпьютерная техника: теория и практика. - М. : Мир, 1992. - 240 с.

Матвейкин В. Г., Дмитриевский Б. С., Ляпин Н. Р. Информационные системы интеллектуального анализа. - М. : Машиностроение, 2008. - 92 с.

Головко В. А. Нейронные сети: обучение, организация и применение. - М. : ИПРЖР, 2001. - 256 с.

Нейронные сети. STATISTICA Neural Networks : пер. с англ. - М. : Горячая линия - Телеком, 2001. - 182 с.

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Published

15.09.2012

How to Cite

Gruzdeva Т. В. (2012). Application of Neural Network Approach to Forecasting the Service Product Store. Vestnik IzhGTU Imeni M.T. Kalashnikova, (3), 60–62. Retrieved from https://izdat.istu.ru/index.php/vestnik/article/view/2552

Issue

No. 3 (2012)

Section

Articles