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MONITORING AND FORECASTING COMPUTER NETWORK STATE BASED ON THE USE OF HYBRID NEURAL NETWORKS

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Application of for computer networks state monitoring and forecasting based on high adaptability and resistance of hybrid neural networks to external noise is considered. Models for monitoring and forecasting of computer network states using hybrid neural networks are analyzed. Results of experiments demonstrate that the proposed models afford a rather high precision of classification of current and predicted states of computer network.

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