| 基于SVM与DT的核电装备制造业供应风险组合预测模型 |
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| 引用本文： | 石春生,孟大鹏. 基于SVM与DT的核电装备制造业供应风险组合预测模型[J]. 核动力工程, 2011, 32(5): 138-142 |
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| 作者姓名： | 石春生 孟大鹏 |
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| 作者单位： | 哈尔滨工业大学管理学院,哈尔滨,150001 |
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| 基金项目： | 国家自然科学基金重大项目(70972096) |
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| 摘 要： | 基于对核电装备制造业供应风险的识别,确立风险预测的指标体系；对国内3家重点核电装备制造企业及其60家供应商进行问卷调查及深度访谈,运用支持向量机与决策树组合的方法建立供应风险的预测模型.实证研究表明,组合预测模型对供应风险预测的精确性优于单一方法的模型,证明了该预测体系的可行性与可靠性,为核电装备制造业供应风险的管理提...
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| 关 键 词： | 核电设备 供应风险 预测模型 支持向量机 决策树 |
Combined Prediction Model for Supply Risk in Nuclear Power Equipment Manufacturing Industry Based on Support Vector Machine and Decision Tree |
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| SHI Chun-sheng,MENG Da-peng. Combined Prediction Model for Supply Risk in Nuclear Power Equipment Manufacturing Industry Based on Support Vector Machine and Decision Tree[J]. Nuclear Power Engineering, 2011, 32(5): 138-142 |
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| Authors: | SHI Chun-sheng MENG Da-peng |
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| Affiliation: | SHI Chun-sheng,MENG Da-peng(School of Management,Harbin Institute of Technology,Harbin,150001,China) |
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| Abstract: | The prediction index for supply risk is developed based on the factor identifying of nuclear equipment manufacturing industry.The supply risk prediction model is established with the method of support vector machine and decision tree,based on the investigation on 3 important nuclear power equipment manufacturing enterprises and 60 suppliers.Final case study demonstrates that the combination model is better than the single prediction model,and demonstrates the feasibility and reliability of this model,which ... |
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| Keywords: | Nuclear power equipment Supply risk Prediction model Support vector machine Decisiontree |
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