Estimation of parameters and state of autonomous corporate network segment
DOI:
https://doi.org/10.18372/2073-4751.2.7657Abstract
The method of identification of autonomous network segment with the delay and errors while service data transferred is developed. There is shown that internal and external disturbances and interferences differently impact on the state of network segment. The Bayes approach to the decision of in verseproblem of identification is proposed. Using representation network as quasi-stationary system on the observation interval the algorithm of recognition of the local classes of anomaliesReferences
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