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Research of Listed company violation forewarning model based on Support Vector Machine

机译:基于支持向量机的上市公司违规预警模型研究

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摘要

The violation of listed company doesn't only cause loss to listed company itself but also cause great negative impact to social economy. Consequently, prevention weighs more than punishment and remedial measure afterwards. Foreseeing the violation risk of listed company by taking advantage of Support Vector Machine, the violation forewarning model established has the advantage of being highly accurate and has high generalization performance. It is a 'new weapon' for supervising and regulating authority to prevent the violation of listed company in a scientific and efficient way.
机译:侵犯上市公司不仅给上市公司自身造成损失,而且对社会经济造成极大的负面影响。因此,事后预防重于惩罚和补救措施。利用支持向量机预测上市公司的违规风险,建立的违规预警模型具有准确性高,泛化性能高的优点。这是监督和监管机构以科学有效的方式防止违反上市公司行为的“新武器”。

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