Intelligent Computing, Cognitive Graphics, Neural Networks in Computer Models of Forest Fires

DOI

10.2991/csit-19.2019.55How to use a DOI?

Keywords

Forest fire, computer model, intelligent computing.

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.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Valery B. Taranchuk
PY  - 2019/12
DA  - 2019/12
TI  - Intelligent Computing, Cognitive Graphics, Neural Networks in Computer Models of Forest Fires
BT  - Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)
PB  - Atlantis Press
SP  - 317
EP  - 321
SN  - 2589-4900
UR  - https://doi.org/10.2991/csit-19.2019.55
DO  - 10.2991/csit-19.2019.55
ID  - Taranchuk2019/12
ER  -