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This paper is devoted to the development of the Markov model for the detection of anomalies of ecosystems of the waters of the city of Sevastopol. The states of the objects under study, the algorithm for constructing the matrix of transition probabilities and determining the final probabilities are presented. Some of the important applications of anomaly detection based on the Markov model are the prediction and recognition of anomalies.

Detection of anomalies of the aquatorium ecosystems of Sevastopol on the basis of the markov model