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Author:

YuanZhong, Z. (YuanZhong, Z..)

Indexed by:

Scopus

Abstract:

Because the network consisting of computers worldwide has its individual network nodes are also unusually large, traditional manual testing methods can not be applied to computer network monitoring, and fault may cause slight paralysis of large-scale networks, for this problem, in this paper, chaotic neural network artificial intelligence monitoring methods for large-scale networks can cause paralysis of the failure to monitor the accuracy of the algorithm is significantly improved compared with other algorithms, and the algorithm converges faster, less calculation, suitable for online testing. © 2016 SERSC.

Keyword:

Accuracy; Chaos theory; Computation; Neural network; Weak fault

Author Community:

  • [ 1 ] [YuanZhong, Z.]Electrical and Information Engineering, Department of Beijing Polytechnic College, Beijing, China

Reprint Author's Address:

  • [YuanZhong, Z.]Electrical and Information Engineering, Department of Beijing Polytechnic CollegeChina

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Source :

International Journal of Security and its Applications

ISSN: 1738-9976

Year: 2016

Issue: 7

Volume: 10

Page: 239-248

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:167

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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