Cascaded fault detection system of error back-propagation network based on node association degree

In view of the problems of low fault identification rate and large global error of network fault system designed by the existing methods, an automatic fault detection system based on node association degree is proposed. Firstly, the hardware design of the system is completed by describing and analyzing the initialization module, detector training module, memory antibody module and fault automatic detection module. Secondly, the system software is designed by network anomaly diagnosis and configuration anomaly detection. Finally, the system can detect the cascade fault of the backward propagation network by the design of software and hardware. The experimental results show that the system designed in this paper has high fault identification rate and small global error of fault detection, and can accurately detect the network cascade faults.

Automated summary

The automatic fault detection system proposed in this paper, based on node association degree, includes hardware design and software design to accurately detect network cascade faults with high fault identification rate and small global error of fault detection.