Neuro-fuzzy systems, the hybrid computational structures integrating elements of artificial networks and fuzzy logic, are reviewed. Modern neuro-fuzzy systems are investigated, a neuro-fuzzy toolkit for detecting network scanning using a neuro-fuzzy system is proposed, and efficiency analysis of the given technology is carried out. The applicability of hybrid neuro-fuzzy system combining a neural network of signal forward propagation and the basis of Takagi–Sugeno fuzzy inference are substantiated and confirmed.
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Maxim Kalinin (2021) studied this question.
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