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AHP Method in Computing Factor Weight of the Network Learning Pattern Recognition

  • Xiang ZhaoEmail author
  • Qi Zhao
  • Gang Chen
Conference paper
  • 730 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 139)

Abstract

The factors cluster analysis is needed in the Network learning pattern recognition (NLPR) process. In order to analysis factors more effectively and exactly, the paper proposed the Analytic Hierarchy Process (AHP) method to ascertain the factor weights. Firstly, the paper described AHP theory and its computing procedure. Then, combined with the factors in the Network Learning System, the paper introduced the factor weights computing approach and the result. The AHP method has higher logicality and reliability which in the analysis of the factors relative importance.

Keywords

network learning pattern recognition weight AHP eigenvector 

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References

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    Zhao, Q., Xue, B., Zhao, B.: Collecting System for Web Studying Factors Base on Mobile Agent. Ordnance Industry Automation (4), 35–38 (2005)Google Scholar
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    Satty, T.L.: The analytic hierarchy process: planning, priority setting. Megraw-Hill, New York (1998)Google Scholar
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    Song, B.: Research on comprehensive evaluation of equipment support quality of equipment scientific examination. The Shijiazhuang Mechanic Engineering College Academic thesis, 13–17 (March 2007)Google Scholar
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    Xue, B., Song, Z.-G., Zhao, B.: Research on Factor Extraction Method in Network Study Pattern Recognition Based on Mobile Agent. Journal of Ordnance Engineering College (2), 54–57 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.6th Dept. of Shijiazhuang Mechanical Engineering CollegeShijiazhuangP.R. China
  2. 2.Dept. of Information ResearchShijiazhuang Army Command AcademyShijiazhuangChina
  3. 3.HeBei Provincial MilitaryShijiazhuangChina

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