首页 | 本学科首页   官方微博 | 高级检索  
     

基于SVM的核电装备制造业供应风险预测模型研究
引用本文:石春生,孟大鹏. 基于SVM的核电装备制造业供应风险预测模型研究[J]. 电子科技大学学报(社会科学版), 2010, 12(5): 23-28
作者姓名:石春生  孟大鹏
作者单位:哈尔滨工业大学,哈尔滨150001
摘    要:基于对核电装备制造业供应风险的因素识别,确立风险预测指标体系;对国内某家重点核电装备制造企业及其60家供应商进行问卷调研及深度访谈,运用支持向量机及libsvm技术建立供应风险的预测模型;最后的案例研究表明了该预测体系的可行性与可靠性。

关 键 词:支持向量机  核电装备  供应风险  预测模型

Research on the Supply Risk Prediction Model of Nuclear Power Equipment Manufacturing Industry Based on SVM
SHI Chun-shen,MENG Da-peng. Research on the Supply Risk Prediction Model of Nuclear Power Equipment Manufacturing Industry Based on SVM[J]. Journal of University of Electronic Science and Technology of China(Social Sciences Edition), 2010, 12(5): 23-28
Authors:SHI Chun-shen  MENG Da-peng
Affiliation:(Harbin Institute of Technology Harbin 150001 China)
Abstract:Based on the factor identification of nuclear equipment manufacturing industry,prediction index for supply risk is established.To make investigation on a famous nuclear power equipment manufacturing enterprise and the 60 suppliers,the method of support vector machine and libsvm software are used to establish supply risk prediction model.Final case study demonstrates the feasibility and reliability of model.
Keywords:support vector machine  nuclear power equipment  supply risk  prediction model
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号