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

Yuyang Zhao,

Zhao Hong

Intelligent Systems with Applications, Journal Year: 2024, Volume and Issue: unknown, P. 200473 - 200473

Published: Dec. 1, 2024

Language: 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, Journal Year: 2024, Volume and Issue: 108, P. 60 - 69

Published: July 23, 2024

Language: Английский

Citations

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

et al.

Neural Computing and Applications, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 23, 2025

Language: Английский

Citations

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

Pingfen Liu

Deleted Journal, Journal Year: 2024, Volume and Issue: 20(6s), P. 812 - 816

Published: April 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

Language: Английский

Citations

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

Luca Esposito

et al.

Evaluation and Program Planning, Journal Year: 2024, Volume and Issue: 108, P. 102519 - 102519

Published: Nov. 17, 2024

Language: Английский

Citations

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

Yuyang Zhao,

Zhao Hong

Intelligent Systems with Applications, Journal Year: 2024, Volume and Issue: unknown, P. 200473 - 200473

Published: Dec. 1, 2024

Language: Английский

Citations

0