Application of GIS forecasting in forestry based on a neural network. Issue 1 (October 2021)

• Record Type: Journal Article
• Authors: Yagotinceva, N; Istomin, E; Kolbina, O; Safonova, T; Kochnev, A
• Is Part Of: IOP conference series. Volume 876:Issue 1(2021)
• Publication Date: 2021-10
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/876/1/012081
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: This article deals with the application of modern information technology for planning activities and operations in forestry. A GIS of meteorological forecasting using a neural network is presented as a planning tool. The structure of GIS is proposed. The stochastic method for training a neural network that suggests the most likely outcome of an event based on a previous sample is described. The results described in the article show the possibility of application of the selected method of neural network training and data use in geoinformation systems of decision-making in forestry.