THE ANALYSIS OF URBAN ECOSYSTEM STATE BY MACHINE LEARNING TOOLS

V.V. Rukavitsyn

Ordzhonikidze Russian State Geological Prospecting University, ul. Miklukho-Maklaya 23, Moscow, 117997 Russia. E-mail: vadichruk@list.ru

This work deals with the automation of ecosystem stability assessment. Until now, carrying out such assessment has been available only to high-class experts. The article presents practical description of using a technology of automation of forecasts making it possible to determine risks for the population residence in a particular area. The article also presents a constructed model of ecosystems stability in cities of Czech Republic. Model accuracy was more than 83%. This model can be applied at the cities construction and design of new residential and industrial quarters.

Keywords: modelling, ecosystem stability, machine learning, automation.

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