Artificial Intelligence in Risk Protection for Financial Payment Systems DOI Open Access

Qiming Xu,

Lidong Xu,

Gaozhe Jiang

и другие.

Опубликована: Июль 15, 2024

In today's highly digitized and globalized financial environment, the need to protect payment systems from risk is more urgent than ever. Artificial intelligence (AI) technology rapidly becoming a key tool in this space, with machine learning algorithms, big data analytics, real-time monitoring enabling AI effectively detect prevent fraudulent activity, optimize management processes, deliver intelligent services. not only improves security efficiency of systems, but also significantly customer satisfaction loyalty. With continuous development technology, industry will usher innovations changes future, further optimizing process, improving efficiency, ensuring security.

Язык: Английский

Predicting Financial Enterprise Stocks and Economic Data Trends Using Machine Learning Time Series Analysis DOI Open Access
Haotian Zheng, Jiang Wu,

Runze Song

и другие.

Опубликована: Июль 11, 2024

This paper explores the application of machine learning in financial time series analysis, focusing on predicting trends enterprise stocks and economic data. It begins by distinguishing from elucidates risk management strategies stock market. Traditional statistical methods such as ARIMA exponential smoothing are discussed terms their advantages limitations forecasting. Subsequently, effectiveness techniques, particularly LSTM CNN-BiLSTM hybrid models, market prediction is detailed, highlighting capability to capture nonlinear patterns dynamic markets. The study demonstrates advancements predictive accuracy robustness achieved deep through empirical analysis model validation. findings contribute significantly academic discourse offer practical insights for investors, analysts, policymakers navigating volatility optimizing investment strategies. Finally, outlines prospects forecasting, laying a theoretical foundation methodological framework achieving more precise reliable predictions.

Язык: Английский

Процитировано

8

Artificial Intelligence in Risk Protection for Financial Payment Systems DOI Open Access

Qiming Xu,

Lidong Xu,

Gaozhe Jiang

и другие.

Опубликована: Июль 15, 2024

In today's highly digitized and globalized financial environment, the need to protect payment systems from risk is more urgent than ever. Artificial intelligence (AI) technology rapidly becoming a key tool in this space, with machine learning algorithms, big data analytics, real-time monitoring enabling AI effectively detect prevent fraudulent activity, optimize management processes, deliver intelligent services. not only improves security efficiency of systems, but also significantly customer satisfaction loyalty. With continuous development technology, industry will usher innovations changes future, further optimizing process, improving efficiency, ensuring security.

Язык: Английский

Процитировано

2