Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)

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

Authors
Xiuwen Bao1, *
1Dongfang College, Shangdong University of Finance and Economics, Jinan, 271000, China
*Corresponding author. Email: hqqguet@guet.edu.cn
Corresponding Author
Xiuwen Bao
Available Online 23 December 2022.
DOI
10.2991/978-94-6463-034-3_61How to use a DOI?
Keywords
internet enterprises; non-financial indicators; dynamic fitting research; BP neural network
Abstract

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.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
23 December 2022
ISBN
10.2991/978-94-6463-034-3_61
ISSN
2589-4900
DOI
10.2991/978-94-6463-034-3_61How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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  -