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June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
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Системные исследования маркетингового пространства территории. Systemic Research of Marketing Space of Territory

Гл. 1. С. 16–22.
Serova E., Багиев Г. Л.

Nowadays systemic interactions subjects of marketing space of territory are an essential object of the researches, devoted to the spatiotemporal paradigm application in the context of market relations development in Russia. The main advantage of the scientific research area, which is based on the spatial approach, is its interdisciplinarity and ability to take advantages of systemic approach and synergy effect in the study of issues related to the spatial organization of economy and management systems, including marketing systems. The paper considers the improvement of approaches, forecasting and hybrid modeling methods, taking into account their dynamics, measurability and evaluation of factors influencing on their spatial relationship and effectiveness of market subjects interactions.  

Language: Russian
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Keywords: пространственная экономикаspatial economicsmarketing space of territorysystemic marketing researchmarketing spatial systemarchitecture of marketing information systemhybrid models and systemsсистемные исследования маркетингамаркетинговая пространственная системаархитектура маркетинговой информационной системыгибридные модели и системымаркетинговое пространство

In book

Научные труды вольного экономического общества России. Том сто девяносто восьмой
Научные труды вольного экономического общества России. Том сто девяносто восьмой
М.: Вольное экономическое общество России, 2016.
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