NEURAL NETWORK QUALIFIER ANOMALY TELECOMMUNICATION
The application of artificial neural networks to solve the problem of recognition and classification of anomalies in the telecommunication-network is considered. The implementation of the neural network classifier using the programming language R is considered. Selected feature space and formed the training sample of neural network. The implementation of the telecommunications network classifier anomalies is presented.
Authors: M. A. Protasova
Direction: Informatics, management and Computer Technology
Keywords: Training sample, a telecommunications network, the neural network classifier
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