Earticle

초록

영어

Failure types of Information Systems are varied, which leads to the long duration for locating faults, and decreases the quality of customer service or income. In order to accurately and timely locating BOSS faults, a cascading neural network ensemble was proposed. In the proposed ensemble, the approach of ensemble was used to promote the accuracy of locating faults, and the cascading structure was employed to decrease the time duration of locating. The proposed approach used in fault location BOSS achieved the following results: (1) the speed of locating faults has been improved; (2) complaint rate from customers has been reduced; (3) the billing losses have been decreased.

목차

Abstract
 1. Introduction
 2. Related Works
 3. General Idea
  3.1. The Training Phase
  3.2. The Fault Locating Phase
 4. Algorithm
 5. Experiment and Application
  5.1 An Experiment
  5.2 An Application
 6. Conclusions
 Acknowledgements
 References

키워드

저자

• Chen Zhifeng [ Business Support Center of Jiangmen Branch, China Mobile Group Guangdong Ltd., Co. ]
• Peng Minjing [ Institute of E-commerce & Public Information Services, Wuyi University ]
• Li Bo [ Institute of E-commerce & Public Information Services, Wuyi University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605