| Issue |
ITM Web Conf.
Volume 45, 2022
2021 3rd International Conference on Computer Science Communication and Network Security (CSCNS2021)
|
|
|---|---|---|
| Article Number | 01068 | |
| Number of page(s) | 5 | |
| Section | Computer Technology and System Design | |
| DOI | https://doi.org/10.1051/itmconf/20224501068 | |
| Published online | 19 May 2022 | |
Research on stock index forecast based on the forgetting-genetic network model
College of Cryptographic Engineering, Engineering University of Armed Police Force, Xi’an Shaanxi, China
* Corresponding author: weibin82@126.com
The stock market plays an important role in national economic development. Predicting its trend, to ensure market stability, efficiency, and safety, is one of the hottest topics of current research. Some algorithms have been proposed to use in this study, however, the drawback in forecasting accuracy and applicability of the model and other issues limit its application in practice. In this paper, we designed a forgotten-genetic network model to predict the stock index. Finally, a comparison between existing algorithms to verify the validity and applicability of the proposed method in this study.
© The Authors, published by EDP Sciences, 2022
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