A Hybrid Metaheuristic Method in Training Artificial Neural Network for Bankruptcy Prediction

A Hybrid Metaheuristic Method in Training Artificial Neural Network for Bankruptcy Prediction

Corporate bankruptcy prediction is an important task in the determination of corporate solvency, that is, whether a company can meet up to its financial obligations or not. It is widely studied as it has a significant effect on employees, customers, management, stockholders, bank lending assessments...

Full description

Bibliographic Details
Main Authors: Abdollah Ansari, Ibrahim Said Ahmad, Azuraliza Abu Bakar, Mohd Ridzwan Yaakub
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Evolutionary optimization algorithms
bankruptcy prediction
artificial neural network
magnetic optimization algorithm
particle swarm optimization
metaheuristic
Online Access:https://ieeexplore.ieee.org/document/9204967/

Internet

https://ieeexplore.ieee.org/document/9204967/

Similar Items