ITM Web Conf.
Volume 45, 20222021 3rd International Conference on Computer Science Communication and Network Security (CSCNS2021)
|Number of page(s)||5|
|Section||Computer Technology and System Design|
|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: firstname.lastname@example.org
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
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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