A novel ensemble classification model based on neural networks and a classifier optimisation technique for imbalanced credit risk evaluation

2019 ◽  
Vol 526 ◽  
pp. 121073 ◽  
Author(s):  
Feng Shen ◽  
Xingchao Zhao ◽  
Zhiyong Li ◽  
Ke Li ◽  
Zhiyi Meng
Keyword(s):  
Neural Networks ◽  
Credit Risk ◽  
Risk Evaluation ◽  
Ensemble Classification ◽  
Classification Model ◽  
Model Based ◽  
Optimisation Technique

Credit Risk Evaluation Using Neural Networks

2008 ◽  
pp. 163-179 ◽  
Author(s):  
Z. Yang ◽  
D. Wu ◽  
G. Fu ◽  
C. Luo
Keyword(s):  
Neural Networks ◽  
Credit Risk ◽  
Risk Evaluation

A NEURAL NETWORK MODEL FOR CREDIT RISK EVALUATION

2009 ◽  
Vol 19 (04) ◽  
pp. 285-294 ◽  
Author(s):  
ADNAN KHASHMAN
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Credit Risk ◽  
Network Model ◽  
Neural Network Model ◽  
Risk Evaluation ◽  
Evaluation System ◽  
Learning Algorithm ◽  
Back Propagation ◽  
Learning Schemes

Credit scoring is one of the key analytical techniques in credit risk evaluation which has been an active research area in financial risk management. This paper presents a credit risk evaluation system that uses a neural network model based on the back propagation learning algorithm. We train and implement the neural network to decide whether to approve or reject a credit application, using seven learning schemes and real world credit applications from the Australian credit approval datasets. A comparison of the system performance under the different learning schemes is provided, furthermore, we compare the performance of two neural networks; with one and two hidden layers following the ideal learning scheme. Experimental results suggest that neural networks can be effectively used in automatic processing of credit applications.

scholarly journals An implementation of social network group classification model based on recurrent and convolution neural networks

2021 ◽  
Vol 48 (1) ◽  
pp. 100-115
Author(s):  
Denis M. Obolensky ◽  
Victoria I. Shevchenko ◽  
Olga V. Chengar ◽  
Elena N. Maschenko ◽  
Anastasia S. Soina
Keyword(s):  
Neural Networks ◽  
Social Network ◽  
Group Classification ◽  
Classification Model ◽  
Convolution Neural Networks ◽  
Model Based
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