Study on application of subtractive clustering and adaptive network-based fuzzy inference system in network fault diagnosis
Xuchun Zhuang · Computer Engineering and Applications Journal · 2011
A method for building network fault diagnosis models is proposed based on subtractive clustering and Adaptive Networkbased Fuzzy Inference System(ANFIS).The subtractive clustering is used to build initial fuzzy inference system,ANFIS is adopted to build network fault diagnosis original model,hybrid algorithm is used to train the parameter of fuzzy rule,and the final model is established.Simulation experiment results show that the modeling algorithm based on subtractive clustering-ANFIS is effective.Compared with the simulation results,the fault diagnosis ability and convergence speed of the subtractive clustering-ANFIS network are all better than the BP neural network,and much more suitable as network fault diagnosis model.