Research on Dynamic Fitting of Internet Enterprise Financial Statement Analysis Using BP Neural Network in the Era of Big Data
Interpretation from the Perspective of Profitability Model
- 10.2991/978-94-6463-034-3_61How to use a DOI?
- internet enterprises; non-financial indicators; dynamic fitting research; BP neural network
The year 2021 is not only a turning year for the development of China’s internet industry, but also an eventful year. Under the situation of strong government supervision, the micro-ecology of China’s internet industry is undergoing subtle changes. Internet enterprises are completely different from manufacturing in terms of profit model and industry ecology. Although the financial statements composition of internet enterprises are simple, the risk factors are more complex and secret, the matching principle is more difficult to be compatible, and the future trend is more difficult to grasp. With the aid of flexible financial management methods and contingency theory research, flexible dynamic indicators are increased. Using the improved BP neural network to study the fitting relationship between financial income, financial cost and non-financial indicators, to the strong correlation analysis with non-financial indicators such as UV, conversion rate, per capita access depth, advertisement click rate, DC UV, etc., let the Internet The analysis of corporate financial report data is more realistic and reasonable.
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Cite this article
TY - CONF AU - Xiuwen Bao PY - 2022 DA - 2022/12/23 TI - Research on Dynamic Fitting of Internet Enterprise Financial Statement Analysis Using BP Neural Network in the Era of Big Data BT - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022) PB - Atlantis Press SP - 599 EP - 611 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-034-3_61 DO - 10.2991/978-94-6463-034-3_61 ID - Bao2022 ER -