Borusyak K.K, Munerman I.V., Chizhov S.S. Neural Network Modeling in the Problem of Mass Appraisal of Non-Residential Real Estate in Moscow. // Economics of contemporary Russia 2009.  3 (46) .80-86.
    The paper analyses the use of neural networks for mass appraisal of commercial property applied to the real property of The Moscow City Property Department. Special features of the factor space and problems of data collection and preprocessing are described. General regression neural networks (GRNN) were first time used for appraisal purposes and made it possible to achieve the acceptable level of 20% relative error.
Keywords: neural networks, GRNN, MLP, mass appraisal, property management.

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