Abstract
On the basis of analyzing the evolution and drawbacks of current network fault diagnosis methods, a novel network data link troubleshooting system (NDTS) based on fuzzy neural network is proposed. NDTS tightly combines neural network and rough sets, so that it can be used to fit the smooth curves perfectly. Let the membership function as the base, an rule scavenging method is put forward in NDTS, which is the variable-precision modal, and the notion of variable-precision be founded on the measurement of dependent degree. Furthermore, NDTS is adopted to deal with the mapping relation, categorizing the network faults. The experiment system implemented by this method shows the proposed system is an open and efficient troubleshooting engine. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Li, Q. M., Qi, Y., Xu, M. W., & Liu, F. Y. (2005). A new method of network data link troubleshooting. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3758 LNCS, pp. 890–900). Springer Verlag. https://doi.org/10.1007/11576235_89
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