Study on Computer Network Application Layer Fault Diagnosis Based on RSNN

Qiu Jing Yang

doi:10.4028/www.scientific.net/AMR.846-847.1423

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 846-847Study on Computer Network Application Layer Fault...

Study on Computer Network Application Layer Fault Diagnosis Based on RSNN

Abstract:

To solve the problem of fault diagnose of computer network application layer, the design of a neural network fault diagnosis system based on rough sets becomes possible. Details the structure of system, the structure of the rough set neural network and training method , and the effectiveness of the proposed method is validated by computer simulation.

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Periodical:

Advanced Materials Research (Volumes 846-847)

Pages:

1423-1426

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.846-847.1423

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Online since:

November 2013

Authors:

Qiu Jing Yang*

Keywords:

Application Layer, Extreme Learning, Granular Neural Networks, Granular Reduction, Rough Set (RS)

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