A new network security situation prediction model is established by using group search method to improve BP neural network. The method gives full play to four different behavior characteristics in group search, such as egoism, altruism, preauction and uncertainty, and selects the appropriate group to get the best weight and threshold. The BP network is initialized and its weight is assigned. The corresponding prediction results are obtained through the learning of artificial neural network. The results obtained are compared with the other two methods. The results show that this method can effectively improve the performance of the system.
Research on Computer Network Security Protection Model Based on Neural Network
11.10.2023
2962180 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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