Vol.9, No.3, August 2020.                                                                                                                                                                                ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Assessment of Investment Activity in the Regions


Mikhail Leizerovich Krichevsky, Julia Anatolevna Martynova


© 2020 Mikhail Leizerovich Krichevsky, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 9, Issue 3, Pages 844-851, ISSN 2217-8309, DOI: 10.18421/TEM93-02, August 2020.


Received: 29 January 2020.

Revised:   02 June 2020.
Accepted: 10 June 2020.
Published: 28 August 2020.




This article presents the results of using machine learning methods to evaluate the investment activity of various Russian regions. The task was considered from two points of view: obtaining information about the class to which a particular region belongs, and forming a quantitative estimate of the investment activity of the regions. In the first case, the solution was obtained with the help of a neural network system implemented in the MatLab 2018b. In the second case, a hybrid system ANFIS was used, making it possible to generate a quantitative estimate of investment activity.


Keywords –investment activity, machine learning, cluster analysis, classification methods, evaluation of investment activity.



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