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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/236806
Title: Intelligent Computing, Cognitive Graphics, Neural Networks in Computer Models of Forest Fires
Authors: Taranchuk, V. B.
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика
Issue Date: 2019
Citation: Taranchuk, Valery B. Intelligent Computing, Cognitive Graphics, Neural Networks in Computer Models of Forest Fires / Valery B. Taranchuk // Series:Atlantis Highlights in Computer Sciences, volume 3. Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019). – P. 317 - 321. https://www.atlantis-press.com/proceedings/csit-19/125927885. WoS.
Abstract: The results of creation of theoretical (mathematical), empirical (statistical), semi-empirical computer models of forest fires are discussed. The features of intelligent computing, obtaining accurate analytical (in the scope of empirical and semi-empirical models), approximate solutions (in theoretical models) are noted. For different models, examples of preprocessing of initial data, including the use of artificial neural networks, are noted. Presentable examples of illustrating the results of numerical experiments by tools of cognitive graphics using Wolfram Mathematica are given.
URI: http://elib.bsu.by/handle/123456789/236806
Appears in Collections:Статьи факультета прикладной математики и информатики

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