基于支持向量机的供应风险预测模型研究

2010 International Conference on Web Information Systems and Mining Pub Date : 2010-10-23 DOI:10.1109/WISM.2010.34

Da-peng Meng, Chun-sheng Shi

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引用次数: 1

摘要

支持向量机作为一种有效的机器学习方法，在预测中得到了广泛的应用。提出了供给风险的控制与预防，在建立评价指标体系和对企业进行问卷调查的基础上，构建了供给风险预测模型，并对模型的拟合程度进行了探讨，以期为供给风险管理提供依据。

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Research on the Prediction Model of Supply Risk Based on SVM

As an effective method of machine learning, Support vector machine has been widely used in prediction. Proposition the supply of risk control and prevention, based on establishment evaluation index system and questionnaire to enterprise, this paper construct the supply risk prediction model and then discuss the fitting degree of model, expect to provide the basis for supply risk management.

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2010 International Conference on Web Information Systems and Mining

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