Vajbert Anastasia Yevgenyevna, 2nd year postgraduate of State University “Dubna”
Volkova Anna Andreyevna, senior lecturer of State University “Dubna”
Shokin Yan Vyacheslavovich, doctor of economical science, assistant professor, professor of State University “Dubna”
This article describes intermediate results of the research held by the team of authors, aimed to building an empirically reliable model of consumer behavior, in order to forecast and manage some socio-economical systems of different types. To achieve the aim neural-network modelling software is applied (DataBase Deductor Academic), and also clusterization methods, macroprogramming and standard logical functions in MS Excel are used. Up to the moment the test version of the model is built, its formalization and learning algorithm of the model are presented in order to achieve the best empirical credibility.
KEYWORDS: imitational modelling, artificial neural networks, consumer behaviour, sustainable development, socio-economical systems.