Application of bionic computing intelligent algorithm based on support vector machine in financial stock market data prediction

Xinyu Xu

doi:10.1117/12.2648129

23 August 2022 Application of bionic computing intelligent algorithm based on support vector machine in financial stock market data prediction

Xinyu Xu

Author Affiliations +

Proceedings Volume 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022); 1233016 (2022) https://doi.org/10.1117/12.2648129
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 2022, Huzhou, China

Abstract

Nowadays, the stock market generates a large amount of data every day, and the growth rate of these data is amazing. This situation leads to many problems faced by stock investors and companies, such as lack of ability to analyze massive data, fast data update, redundancy of data, and reduction of effective utilization of data. In order to make a better prediction, this paper constructs a bionic computing intelligent algorithm based on support vector machine, establishes an improved GASVM parameter optimization model based on the support vector machine model, and finally applies it to the financial market to predict the short-term stock price in the selected stock pool. The empirical results show that the prediction results are higher than the random prediction accuracy under different parameter optimization algorithms, which shows that it is effective to optimize the model by optimizing the parameters of support vector machine. Compared with neural network model or other traditional artificial intelligence algorithms, the model established in this paper is more economical and applicable, and can give investors guidance to a certain extent.

Citation Download Citation

Xinyu Xu "Application of bionic computing intelligent algorithm based on support vector machine in financial stock market data prediction", Proc. SPIE 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 1233016 (23 August 2022); https://doi.org/10.1117/12.2648129

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available