Research of Default Risk of Commercial Bank's Personal Loan Based on Rough Sets and Neural Network

Author(s):  
Zenglian Zhang
Author(s):  
Lei Si ◽  
Zhongbin Wang ◽  
Xinhua Liu

In order to accurately and conveniently identify the shearer running status, a novel approach based on the integration of rough sets (RS) and improved wavelet neural network (WNN) was proposed. The decision table of RS was discretized through genetic algorithm and the attribution reduction was realized by MIBARK algorithm to simply the samples of WNN. Furthermore, an improved particle swarm optimization algorithm was proposed to optimize the parameters of WNN and the flowchart of proposed approach was designed. Then, a simulation example was provided and some comparisons with other methods were carried out. The simulation results indicated that the proposed approach was feasible and outperforming others. Finally, an industrial application example of mining automation production was demonstrated to verify the effect of proposed system.


2013 ◽  
Vol 48 ◽  
pp. 91-108 ◽  
Author(s):  
Avatharam Ganivada ◽  
Shubhra Sankar Ray ◽  
Sankar K. Pal

2012 ◽  
Vol 35 (7) ◽  
pp. 901-907 ◽  
Author(s):  
Zhilu Wu ◽  
Zhutian Yang ◽  
Zhendong Yin ◽  
Lihua Zuo ◽  
Hansong Gao

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