Zoryna Yurynets

This research substantiates the expediency of introducing the instruments of neural network theory to the economic practice, since it appears to be a strong mathematical instrument and an alternative to the mathematical approaches currently known. The article suggests and presents a neural network model to forecast the innovative and scientific-technical development of the Ukrainian economy. The computerized modeling of the adapted neural network has been performed on the basis of Statistica Neural Networks (StatSoft Inc.) package. Taking into consideration the development of the leading countries of the world and Ukraine, this neural network model is based upon the indices reflecting basic results of the state social and economic, innovative, scientific and technical policy within the period of 2000-2013. The suggested technique allows determining the factors that have the greatest influence on the GDP of the country and predetermine its economic development. Among the considered factors, the greatest influence on the GDP growth is made by the amounts of Research and Development (R&D) financing. Not less important for the economic growth is the increase of investments in the basic capital. Among the factors, the least influence on GDP is made by the national budget expenditures on the innovative activity of enterprises. The received predictive data may provide the basis for working out a strategy of the innovative development of the country and regions, investment and innovative programs and budgets

The carried out research confirms the expediency of economic mathematical modeling (game theory) implementation in practice of economical activity. The paper presents a designed game theory model of optimal innovative strategy for product manufacturing at the enterprise considering the expenses due to the production, storage and transportation of basic goods; extra expenses for the development of innovative products and supplementary costs granted by the company for the innovative products development in order to decrease possible material losses by the defined reasons.
The developed game theory model aims to develop the optimal strategy for innovative products manufacturing was implemented and approved at the enterprise, which produces different means of operative communication. The assigned solution of a task included the calculation of the company’s optimal innovative product release with the aim of receiving a maximum income from the developed products realization. The model enables to define the percentage ratio of the efficient manufacturing of innovative products at the enterprise, considering the state of the market and competitive behavior in overall product assortment, the possibility of this ratio optimal correction in order to maximize the income from innovative products realization.
Performed calculations allow the company’s managers to determine the beneficial and non-beneficial market state for certain types of innovative products and to improve the decision making process concerning the increase or the reduction of innovative products manufacturing.