Abstract
In view of the huge information network system of the Internet of Vehicles and the difficulty of network fault location, a BP neural network-based method is proposed to establish an intelligent diagnosis system for the vehicle network. The system combines multiple data sources and uses its adaptive capabilities to analyse fault information present in the current network. At the same time, in order to ensure the superiority of BP neural network, the training set data addition interface is added, and the BP neural network is continuously updated to improve the effectiveness of network fault diagnosis.
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