Using the characteristics of chaotic dynamics in the knowledge base of decision support system

Comparative recurrent, entropy and wavelet analysis of the chaotic systems were carried out. It showed significant differences for different degree chaotic system. Dependences of the quantitative information characteristics on the parameters of chaotic processes were obtained. Recordings of laboratory animals electroencephalograms, which are divided into waking and sleep phases, were researched.