• Login
  • Register
  • Search

Application and optimization strategy of artificial intelligence in financial data analysis

Zhiying Liang, Lixin Jiao

Abstract


This paper first briefly introduces the artificial intelligence technology commonly used in financial data analysis, including data
preprocessing, machine learning algorithm and deep learning technology. Then, the application of artificial intelligence in financial data analysis is discussed in detail. Then, the optimization strategy of artificial intelligence in financial data analysis is proposed, including data quality
improvement, feature engineering optimization, model selection and parameter adjustment, model fusion and enhancement, online learning
and real-time prediction. Finally, the challenges and future development directions of artificial intelligence in financial data analysis are prospected.

Keywords


Financial Data Analysis; Artificial Intelligence Technology; Optimization Strategy

Full Text:

PDF

Included Database


References


[1] Guan Peng, Huang Qin, Mu LAN. Exploration and practice of PBL teaching model of “Financial Data Mining” under the background of Artificial intelligence [J]. Science and Education Literature (Next ten-day issue),2021,(27):144-146.

[2] Yu Fei. Research on the application of Artificial Intelligence in Data Analysis [J]. Information Recording Materials,

2019,21(12):179-180. (in Chinese)

[3] Wang Lipeng. Thinking about the application of artificial intelligence technology in the financial field -- Taking deep Learning as

an example [J]. Times Finance,2018,(06):31+35.




DOI: http://dx.doi.org/10.18686/fm.v9i2.12453

Refbacks