Determination of an object as chaotic system on the basis of structural risk minimization

Abstract

The paper proposes the method of determining the membership of the object to chaotic systems on the basis of structural risk minimization. It is presented examples that demonstrate the effectiveness of the methodology to model data. The methodology is based on Chebyshev polynomials that can make an informed choice of uniform distribution law or motivated to prefer a different probability density. The main feature of chaotic systems is the presence of a uniform law of distribution, which is typical for systems of the third type - the foundations of modern theory of chaos and self-organization. It is significant that in the theory of chaos and self-organization at short time intervals τ always be uneven distribution. However, it is impossible to keep the system for a long time in this state.