Fahmida E. Moula, Chi Guotai, Mohammad Zoynul Abedin
Mohammad Zoynul Abedin, Chi Guotai, Fahmida–E– Moula, A. S. M. Sohel Azad et al.
Abstract The heart of this study is particularly on risk assessment of financial decision support systems (FDSSs), to advance the model performance and improve classification accuracy. To conquer the downsides of the classical models, statistical intelligence (SI) technologies, for example, multilay...
Chi GUOTAI, Mohammad Zoynul Abedin, Fahmida E–MOULA
This study proposes an investigation and optimization of Multi-Layer Perceptron (MLP) based artificial neural networks (ANN) credit prediction model, combine with the effect of different ratios of training to testing instances over five real-world credit databases. As an outcome from the alteration ...
Fahmida-E-Moula, Nusrat Afrin Shilpa, Preity Shaha, Petr Hájek et al.
Chi Guotai, Mohammad Zoynul Abedin, Fahmida E. Moula
In recent years, hybrid models have proven to be a promising approach for the forecasting of credit status, therefore, the aim of this project is to examine the prediction performance of hybrid classifiers. Particularly, the combination of the feature engineering with popular neural network (NN) cla...