Application and optimization strategy of artificial intelligence in financial data analysis
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.
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
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DOI: http://dx.doi.org/10.18686/fm.v9i2.12453
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