Application of Neural Networks in Financial Data Analysis for Enhanced Corporate Performance Evaluation
Year: 2025
Type: article
Abstract: This study explores the application of neural networks in financial data analysis and corporate performance evaluation, addressing challenges of nonlinearity and data noise. It evaluates multiple architectures (feedforward, recurrent, and convolutional), supported by real-world Python implementations and performance metrics such as accuracy and AUC. Key limitations like interpretability and overfitting are discussed, with proposed remedies and future research directions.
Institutions: University of Al-Qadisiyah, Iraqi Medical Research Center
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4413121602