Наукові статті

Neural Network Technology of the Financial and Economic Model Synthesis of Production as the Fragment of the Economy Digitalization

Алёшин, С.П.

The purpose of the article is to develop a technology for desgning neural network models for automatic monitoring of the tax burden to achieve the optimal balance between the possibility of developing a successful business and sufficient filling of the regional budget. A multi-layer perceptron and a back-propagation algorithm were applied for the research as well as a neural control technology. The automation of the process of determining the elements of the gradient vector was produced in implementing traditional method of the backpropagation of error by using neural control technology. For the first time, a solution to optimize the fiscally-tax burden (FTB) of the region has proposed with the application of the back-propagation algorithm. Using the proposed methodology a software tool will be created for the transition to an automatic system for optimal management of the economy.

Англійська

2018

neural network optimization

International Journal of Engineering & Technology

Alyoshin S.P. Neural Network Technology of the Financial and Economic Model Synthesis of Production as the Fragment of the Economy Digitalization / S.P.Alyoshin, E.A. Borodina, A.M. Hafiiak, O.B..Nosach // International Journal of Engineering & Technology. – 2018. – Vol 7, № 4.8. – P. 355–363

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