关键词: 模糊神经网络, 规则发现, 关联关系, 故障预测

Abstract:

Aiming at analysis on correlations between failures and various indices characterizing network states in failure prediction, an approach for rule discovery based on fuzzy neural network (ARD_FNN) was proposed. It discoveries the correlations in network management system using the abilities to learn and infer by fuzzy logic in FNN. Simulations show that the effective initialization of parameters indicates the convergence directions that accelerate the convergence rates; thus the approach can predict the occurrence of failures accurately and such performance indicators as precision, true positive rate and false positive rate are optimized.

Key words: fuzzy neural network, rule discovery, correlations, failure prediction