• В В Якубовський Institute of International Relations Kiev National Taras Schevchenko University
  • О С Бичков Kiev National Taras Schevchenko University


Feasability of artificial neuronets methodology application for valuation of tangible and intangible assets is grounded. Proposed is general structural neuronets model for most widely used comparative approach of property and property rights valuation.

Neuro net is used for modelling processes of valuation object recognition, its classification and value assessment utilising comparison with analog items with respect to price unfluencing parameters.

Algorithm of neuro nets model program realization is described for its practical realization purposes.

Author Biographies

В В Якубовський, Institute of International Relations Kiev National Taras Schevchenko University
Doctor of technical sciences, professor of the international business chair, of the
О С Бичков, Kiev National Taras Schevchenko University
Candidate of physic-mathematic sciences, assistant professor, chair of programmatic systems and technologies head


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