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Neural Network Models of Time Series of Network Traffic Intensities
Gabdrakhmanova N., Gabdrakhmanov A.
The paper presents the results of building neural network predictive models of the occupancy
Holistic Discourse in the Network Cognitive Modeling
Райков А. Н.
Holistic Discourse in the Network Cognitive Modeling
Decomposition of queueing networks with dependent service and negative customers
Bocharov P.P., Gavrilov E.V., D'Apice C., Pechinkin A.V.
Queueing networks with negative customers (G-networks) and dependent service at different nodes
Training neural network for pattern recognition
Plonkowski, M.
prototypes of network and their adaptation to a mathematical model, network structure and its training
Paralinguistic model for emotions recognition with deep neural networks
Shchetinin E.Y., Sevastianov L.A., Kulyabov D.S., Ayrjan E.A., Demidova A.V.
networks is proposed. The main stages of its construction were studied and relevant models of the deep
Deep Neural Networks for Emotion Recognition
Shchetinin E.Y., Sevastianov L.A., Kulyabov D.S., Ayrjan E.A., Demidova A.V.
cell were used as models of deep neural networks. On their basis, an ensemble of neural networks
On auction equilibrium models with network applications
Konnov I.
that the basic network flow equilibrium problems are particular cases of this auction market model. Besides, we
On the graph model and the equivalence of banyan networks
Basharin G.P., Zhukov O.V.
of construction of their graph models and isomorphism between the networks. The original determinations allowing
G-Networks: Development of the Theory of Multiplicative Networks
Bocharov P.P., Vishnevskii V.M.
for extending the multiplicative theory of queueing networks and for practical specialists in modeling computing
EXTRACTION of TRAFFIC FEATURES in SOFTWARE-DEFINED NETWORKS USING AN SDN CONTROLLER
Volkov S., Kurochkin I.
controller. Various network topologies are considered in the modeling. The possibility of analyzing

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