USE OF APPARATUS OF HYBRID NEURAL NETWORKS FOR EVALUATION OF AN INTELLECTUAL COMPONENT OF THE ENERGY-SAVING POLICY OF THE ENTERPRISE

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  Vyacheslav Dzhedzhula

  Iryna Yepifanova

Abstract

Intellectual capital has a significant impact on the energy-saving policy, which is an indicator of levels of competitiveness and efficiency of the enterprise. Making decisions on improving the efficiency of energy-saving policies of the enterprise through intellectual capital can be carried out by assessing qualitative, quantitative, and binary parameters of the state of the investigated object. Researchers on energy saving issues are scientists such as A.M. Asaul, O.I. Amosha, V.M. Heiets, Yu.V. Dziadykevych, V.V. Stadnyk, V. Parkhovnyk, R. Toud. Issues related to the definition of the essence of innovation were investigated by O.F. Androsova, T.P. Bubenko, M.P. Voinarenko, V.M. Heiets, G. Mensch, M. Kaletski, S.V. Phillippova, J. Schumpeter, A.V. Cherep. Issues of intellectual capital management were considered in the works of L. Antoniuk, S.V. Zakharinko, A. Kendiukhov, G.R. Natroshvili, V. Tsipuryndа, L. Fedulova. The issue of evaluating the intellectual component of the energy-saving policy, in particular, with the help of the apparatus of hybrid neural networks, remains poorly developed. The purpose of the paper is the determination of factors of intellectual capital that influence the energy-saving policy, the formation of a mathematical model based on the theory of hybrid neural networks to determine the indicator of the intellectual component of the energysaving policy of the enterprise. Methodology. Using the theory of hybrid neural networks, a mathematical model has been formed and the simulation has been carried out to determine the indicator of the intellectual component of the energy-saving policy of the enterprise. Results. The factors influencing the value of this indicator have been determined as linguistic variables. A mathematical model has been formed and the simulation has been carried out to determine the indicator of the intellectual component of the energy-saving policy of the enterprise. Practical implications. If it is necessary, the use of different components of intellectual capital, the proposed mathematical model will allow ranking their degree of attractiveness for energy conservation policies. The expert information can be provided both by an expert and a group of experts and serves as input information for modelling in the proposed mathematical model. Further information and practical experience of implementation of energy saving measures can be used for training mathematical model. Value/originality. The use of the proposed mathematical model allows you to determine the indicator of the intellectual component of the energy-saving policy of the enterprise, which in turn allows you to choose those components of intellectual capital for this enterprise that will make the greatest impact on the energy-saving policy.

How to Cite

Dzhedzhula, V., & Yepifanova, I. (2018). USE OF APPARATUS OF HYBRID NEURAL NETWORKS FOR EVALUATION OF AN INTELLECTUAL COMPONENT OF THE ENERGY-SAVING POLICY OF THE ENTERPRISE. Baltic Journal of Economic Studies, 4(1), 126-130. https://doi.org/10.30525/2256-0742/2018-4-1-126-130
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Keywords

intellectual capital, energy saving, human capital, organizational capital, market capital, hybrid neural networks

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