A hybrid machine learning framework by incorporating categorical boosting and manifold learning for financial analysis DOI Creative Commons

Yuyang Zhao,

Hongbo Zhao

Intelligent Systems with Applications, Год журнала: 2024, Номер unknown, С. 200473 - 200473

Опубликована: Дек. 1, 2024

Язык: Английский

A new financial risk prediction model based on deep learning and quasi-oppositional coot algorithm DOI
Fahad M. Alhomayani,

Khalil A. Alruwaitee

Alexandria Engineering Journal, Год журнала: 2024, Номер 108, С. 60 - 69

Опубликована: Июль 23, 2024

Язык: Английский

Процитировано

3
A novel augmentation strategy for credit scoring modeling DOI Creative Commons
Valerio La Gatta, Marco Postiglione, Giancarlo Sperlí

и другие.

Neural Computing and Applications, Год журнала: 2025, Номер unknown

Опубликована: Янв. 23, 2025

Язык: Английский

Процитировано

0
Time Series Analysis and Algorithm for Fluctuation Pattern Recognition and Forecasting of Economic Indicators DOI Creative Commons

Pingfen Liu

Deleted Journal, Год журнала: 2024, Номер 20(6s), С. 812 - 816

Опубликована: Апрель 29, 2024

This study examines the use of artificial neural network (ANN) algorithms in machine learning for recognizing fluctuation patterns and forecasting economic indicators field political economy. In today's changing global scene, is critical informing policy decisions, directing strategic planning, managing risks. Traditional statistical approaches time series analysis have long been used this purpose, but advent ANN provides a new way to capture intricate dynamics systems. Using ANNs' intrinsic flexibility nonlinear modelling capabilities, analyzes their ability effectively forecast future swings indices. work intends understand strengths, limits, practical consequences ANN-based models by conducting complete assessment literature, methodological methods, empirical studies. adds continuing discussion diving into theoretical frameworks, concerns, data. Finally, incorporating offers promising opportunities improving understanding processes supporting informed decision-making

Язык: Английский

Процитировано

1
Overview of rural credit environment in China: measurement logic, evaluation system, and case analysis DOI
Xihui Chen, Zhouyi Gu,

Luca Esposito

и другие.

Evaluation and Program Planning, Год журнала: 2024, Номер 108, С. 102519 - 102519

Опубликована: Ноя. 17, 2024

Язык: Английский

Процитировано

1
A hybrid machine learning framework by incorporating categorical boosting and manifold learning for financial analysis DOI Creative Commons

Yuyang Zhao,

Hongbo Zhao

Intelligent Systems with Applications, Год журнала: 2024, Номер unknown, С. 200473 - 200473

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

0