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The Construction and Application of Listed Companies' Profit Quality Models Based on the BP Neural Network

机译:基于BP神经网络的上市公司利润质量模型的构建与应用

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During to the asymmetric information on the stock market, and financial fraud incident with increasing, earnings quality becomes the focus of people from all walks of life. Both on all investors, or other stakeholders, how to reasonable evaluate listed companies' earnings quality appears very important. This article through the BP neural network model to analysis the enterprise's profit quality, the model simulation results are accurate, thus can predict enterprise's profit quality, meeting the demand of information of enterprise stakeholder.
机译:在对股票市场的非对称信息期间,以及日益增长的财务欺诈事件,盈利质量成为来自各界人士的焦点。所有投资者或其他利益攸关方,如何合理评估上市公司的收入质量似乎非常重要。本文通过BP神经网络模型分析了企业的利润质量,模型仿真结果准确,因此可以预测企业的利润质量,满足企业利益相关者信息的需求。

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