| 基于规则集成和RFA的中铁十三局发展预测研究 |
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| 引用本文： | 李素清,王洪礼.基于规则集成和RFA的中铁十三局发展预测研究[J].天津大学学报(社会科学版),2012(6):520-523. |
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| 作者姓名： | 李素清 王洪礼 |
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| 作者单位： | [1]天津大学管理与经济学部,天津300072 [2]中铁十三局集团有限公司,天津300308 |
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| 摘 要： | 利用规则集成方法和随机森林方法(RFA),对中铁十三局集团的未来发展进行了预测。基于该集团过去28年的企业发展数据,得到了其"十二五"期间的总产值及利润的预测值。结果表明,中铁十三局的业绩将在未来的几年内持续快速增长。为了使预测的目标得以实现,结合集团的实际情况,尚需要在企业管理、信息化建设、人才培养等方面进行创新。
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| 关 键 词： | 预测 规则集成 随机森林 |
Development Prediction of the China Railway 13th Bureau Group Corporation by Rule Ensembles and RFA |
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| LI Su-qing,WANG Hong-li.Development Prediction of the China Railway 13th Bureau Group Corporation by Rule Ensembles and RFA[J].Journal of Tianjin University(Social Sciences),2012(6):520-523. |
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| Authors: | LI Su-qing WANG Hong-li |
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| Institution: | 1.Faculty of Management and Economics,Tianjin University,Tianjin 300072,China; 2.China Railway 13th Bureau Group CO.LTD,Tianjin 300308,China) |
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| Abstract: | Total output value and profit of the China Railway 13th Bureau Group Corporation were predicted by rule ensembles and RFA.Based on the data of the past 28 years,the predictive value of total output value and profit of the group in the ＂12th Five-year＂ period was obtained.The results show that the performance of the group will continue to growing rapidly in the coming years.In order to achieve the predicted target,it needs to innovating business management,information construction,and personnel training. |
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| Keywords: | prediction rule ensembles random forest method |
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