基于BP神经网络的上市公司财务困境预警模型实证研究

正确公允的认识和评价上市公司的财务状况和经营业绩已成为有关各方的共识。然而有些公司恶意造假、包装上市,给投资者和债权人造成巨大损失,扰乱经济市场。这使得有关上市公司财务困境预警的研究日益迫切。就如何运用BP网络神经算法来提高财务困境预警能力进行了分析。

A Study on the Listed Company's Financial Distress of Early-Warning Model by Empirical Research Based on BP Neural Network

Correct understanding and evaluation of fair market a company's financial condition and results of operations has become the consensus of the parties concerned.Some companies malicious fabrication and packaging market,however,have caused tremendous losses to investors and creditors,disrupted economic market.This makes the listed company's financial distress of the increasing urgency of early warning research.This article on the use of BP neural network algorithms to improve the capacity of early warning of ...