COARSENED STATISTICAL STUDY OF APPLIED DYNAMICAL SYSTEMS USING PATTERN RECOGNITION METHODS (PART II)
The possibilities of using pattern recognition methods (PRMs) to study mathematical models with a large number of parameters are discussed. In addition to the coarsened statistical study of the dynamical systems by constructing phase and parametric portraits, the possibilities are considered of using PRMs to study the problems arising from the specific content of the model. PRM possibilities in the study of dynamical systems are illustrated by the example of three mathematical models.