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- W2269557157 abstract "In order to improve the detection efficiency of rule-based expert systems, an intrusion detection approach using connectionist expert system is proposed. The approach converts the AND/OR nodes into the corresponding neurons, adopts the three-layered feed forward network with full interconnection between layers,translates the feature values into the continuous values belong to the interval [0, 1 ], shows the confidence degree about intrusion detection rules using the weight values of the neural networks and makes uncertain inference with sigmoid function. Compared with the rule-based expert system, the neural network expert system improves the inference efficiency." @default.
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- W2269557157 date "2005-01-01" @default.
- W2269557157 modified "2023-09-24" @default.
- W2269557157 title "Intrusion Detection Approach Using Connectionist Expert System" @default.
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