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Analysis of Chinese Enterprise Financial Crisis Prewarning Based on BP Neural Network

机译:基于BP神经网络的中国企业财务危机预警分析。

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With the economic development of the emerging market countries, bankruptcy and financial crisis occur more and more frequently in business, credit and savings institutions, and thus the demand for enterprise financial crisis prewarning is rapidly growing. The main purpose of this paper to build a business financial crisis prewarning model based on BP neural network to conduct empirical analysis of the financial situation in Chinese enterprises. The conclusion shows that this model simulated the actual financial situation of enterprises. It can be not only applied to enterprise financial crisis prewarning in the emerging market countries, but also to financial crisis prewarning in the areas of micro-finance, such as credit and savings institutions, and so on.
机译:随着新兴市场国家的经济发展,商业,信贷和储蓄机构中破产和金融危机的发生越来越频繁,因此对企业金融危机预警的需求正在迅速增长。本文的主要目的是建立基于BP神经网络的商业金融危机预警模型,对中国企业的财务状况进行实证分析。结论表明,该模型模拟了企业的实际财务状况。它不仅可以应用于新兴市场国家的企业金融危机预警,而且可以应用于诸如信贷和储蓄机构等小额信贷领域的金融危机预警。

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