Research on e-commerce neural network financial accounting crisis early warning model combined with partial least squares
by Xiaoyang Meng
International Journal of Computational Systems Engineering (IJCSYSE), Vol. 7, No. 2/3/4, 2023

Abstract: The study establishes a variable system based on the financial accounting crisis early warning theory, and uses partial least squares method to screen variables in order to accurately predict various incentives for the financial crisis in the actual operation of enterprises in the e-commerce industry. According to the findings of the experiment, when the quantity of hidden layer nodes in L-1~3 years is 9, 10 and 11 respectively, the convergence rate of the model can reach the best state. In the prediction of 2020 and 2021, the accuracy rate of L-2 and L-3 is less than 90%, and L-1 has an accuracy rate of more than 90%. In conclusion, the PLS-BP financial crisis early warning model developed and studied can be highly accurate and useful, and it can quickly identify financial crisis signals for businesses in the e-commerce industry and develop efficient measures.

Online publication date: Wed, 16-Aug-2023

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