基于PNN的财务危机预警模型的改进的研究

目前神经网络技术在日益发展中完善,在对于非线性数据的处理中也被证明具有卓越性能,这种性能为企业财务危机预警的研究开阔了新思路,同时提供了新的技术支持。通过筛选并确定了对上市公司陷入财务危机最具有影响力的七个财务指标,并且将其作为建立预测模型的判定指标,运用PNN对财务危机预警模型进行改进,并分析了这种模型的预测效果,得到了有关研究结论。

Improvement of Financial Crisis Early-Warning Model Based on PNN

Neraul network technology is improved and has been proved to be excellent in non-linear data processing, which provides new thoughts and technology support to the study of financial crisis early warning. The study selected seven financial indexes influencing the possibility of financial crisis for a listed company. The indexes were used as determinant indexes for establishing a prediction model. A conclusion is obtained by improving the financial forewarning model with PNN and analyzing the prediction effectiveness of the model.