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

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.