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Title of Article

COARSENED STATISTICAL STUDY OF APPLIED DYNAMICAL SYSTEMS USING PATTERN RECOGNITION METHODS (PART I)


Issue
5
Date
2012

Article type
scientific article
UDC
004.93+519.6
Pages
159-171
Keywords
 


Authors
Neymark Yu.I.
NII prikladnoy matematiki i kibernetiki Nizhegorodskogo gosuniversiteta im. N.I. Lobachevskogo

Kotelnikov Igor Vyacheslavovich
NII prikladnoy matematiki i kibernetiki Nizhegorodskogo gosuniversiteta im. N.I. Lobachevskogo

Teklina Larisa Grigorevna
NII prikladnoy matematiki i kibernetiki Nizhegorodskogo gosuniversiteta im. N.I. Lobachevskogo


Abstract
The possibilities of using pattern recognition methods to study mathematical models with a large number of parameters are discussed. A new technique is presented of coarsened statistical study of dynamical systems by constructing phase and parametric portraits based on the statement of the investigation problem as a problem of pattern recognition.

File (in Russian)