Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2015, Vol. 38 ›› Issue (6): 29-33.doi: 10.13190/j.jbupt.2015.06.007

• Papers • Previous Articles     Next Articles

An Approach for Rule Discovery Based on Fuzzy Neural Network in Failure Prediction

ZHENG Wei-wei1, WANG Zhi-li1, QIU Xue-song1, WANG Xing-bin2   

  1. 1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2. Military Representative Office in Chengdu of Information Department of PLA, Chengdu 610041, China
  • Received:2014-08-22 Online:2015-12-28 Published:2015-12-01

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

CLC Number: