Abnormal detecting method based on fuzzy nervous network
A fuzzy neural network and anomaly detection technology, applied in data exchange network, data exchange through path configuration, digital transmission system, etc., can solve inflexibility and other problems, achieve the effect of reducing dimensionality and improving operating efficiency
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[0024] The present invention will be further elaborated below in conjunction with the accompanying drawings.
[0025] As shown in Figure 1, the anomaly detection method based on fuzzy neural network mainly includes two stages: training stage and detection stage. In the training stage, firstly, the input network connection vector is obtained from the network connection data vector training sample set, and then the feature vector is generated after feature selection and feature transformation, and then the feature vector is sent to the fuzzy neural network, using ANFIS, (Adaptive Fuzzy Neural Network Inference system) is trained until it reaches a stable state, and the fuzzy neural network model is obtained. In the detection stage, firstly, the input network connection vector is obtained from the network connection data vector training sample set, which is preprocessed to generate a feature vector, and then the feature vector is sent to the trained fuzzy neural network model to ...
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