Industrial Automatic Control Systems and Controllers Annotation << Back Traffic Parametric Identification Method on Limited Observation Interval O.V. Kryukov, V.S. Shcherbakov The Article presents the issues of identifying traffic in a multiservice communication network. It is conclusion that relation between types off multiservice communication network sources and traffic characteristics is exist. Finite mixture distributions model described complex form of histogram is proposed. Hidden Markov model (HMM) is employed for interrelation between types off multiservice communication network sources and observed statistical traffic characteristics. Hidden Markov model has been expanded. Hidden Markov model with several of observations is proposed. Keywords: multiservice communication network; multidimensional stochastic observations; Gaussian density distribution; hidden Markov model. DOI: 10.25791/asu.04.2019.575 Contacts: E-mail: oleghooker@gmail.com, E-mail: vs.letter@gmail.com Pp. 09-18.