Early Detection of Network Fault Using Improved Gray Wolf Optimization and Wavelet Neural Network

Table 5

Comparison of experimental results of fault diagnosis model.

Model	IGWO-WNN	GWO-WNN	WNN	BP	SVM	ELM
Accuracy	0.9928	0.9890	0.9882	0.9560	0.9436	0.9774
Precision	0.9864	0.9788	0.9773	0.9197	0.9021	0.9585
TPR	0.9996	0.9996	0.9996	0.9992	0.9952	0.9980
FPR	0.0134	0.0216	0.0232	0.0872	0.1080	0.0412
F1-score	0.9930	0.9891	0.9883	0.9578	0.9463	0.9779