V. V. Burlutskiy, A. V. Yakimchuk, A. V. Melnikov, A. L. Tsaregorodtsev, S. V. Voloshin, “Development of a method for the formation of attribute space and a model for the assessment and prediction of anthropogenic influence on the environment (on the example of the forest fund of the oil-producing region)”, Inform. Primen., 2019, Volume 13, Issue 3,Pages <nobr>131

Development of a method for the formation of attribute space and a model for the assessment and prediction of anthropogenic influence on the environment (on the example of the forest fund of the oil-producing region)

V. V. Burlutskiy^a, A. V. Yakimchuk^b, A. V. Melnikov^a, A. L. Tsaregorodtsev^a, S. V. Voloshin^b

^a Yugra Research Institute of Information Technologies, 151 Mira Str., Khanty-Mansiysk 628011, Russian Federation
^b Yugra State University, 16 Chekhova Str., Khanty-Mansiysk 628012, Russian Federation

Abstract: The work is devoted to the development of a systematic method for assessing and predicting the influence of natural and anthropogenic impacts on the environment, including the procedures for the transformation of initial data store, the formation of the neural network model, its training, and testing. The method is used to analyze the consequences of anthropogenic impacts on the environment in the Khanty-Mansiysk Autonomous Okrug — Yugra.

Keywords: data analysis, machine learning, neural networks, spatial analysis, geographic information systems, risk-based approach, control and supervision.

Received: 02.10.2018

DOI: 10.14357/19922264190318