西南石油大学学报(社会科学版) ›› 2010, Vol. 4 ›› Issue (6): 22-26.DOI: 10.3863/j.issn.1674-5094.2010.06.004

• 石油与天然气软科学 • Previous Articles     Next Articles

USING BP ANN TO EVALUATE THE CORE COMPETITIVENESS OF OIL ENTERPRISES

WANG Zhen-yu1 YU Xiao-zhong2 ZHANG Bin2   

  1. 1.Sichuan Circle Economic Study Center，Mianyang Sichuan，621010，China；2.School of Economics and Management，Southwest Petroleum University，Chengdu Sichuan，610500，China
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-11-20

Abstract: Through questionnaire and principal component analysis，the authors establish a system evaluating core competitiveness of oil enterprises which consists of 6 dimensions and 18 indices.And a BP artificial neural network(ANN) model is designed based on this evaluation system.6 sample enterprises and 2 others as test subjects are chosen for the application test and then analysis is made about 5 oil enterprises with greater comprehensive competitiveness.The study suggests that compared with conventional linear evaluation model，the BP ANN model is more dynamic and learns better.Therefore，the evaluation is more accurate and better reflects the real picture of oil enterprises′ core competitiveness.The authors hope that this BP ANN model will provide a new method of core competitiveness evaluation for oil enterprises.

Key words: oil enterprises, core competitiveness, BP artificial neural network, evaluation index system, network training

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