Click for new scientific resources and news about Corona[COVID-19]

Paper Information

Journal:   MODARRES HUMAN SCIENCES   Fall 2002 , Volume 6 , Number 3(Tome 26); Page(s) 125 To 146.
 
Paper: 

Designing And Formulating Efficient Model For Credit Allocation Model- Neural Network, Logistic And Linear Regression Approach

 
 
Author(s):  Mansory A.*, Azar A.
 
* 
 
Abstract: 
The main objective of all commercial banks is to collect the savings of legal and real persons and allocate them as credit to industrial, services and different priduction Companies. With respect to the importance of allocating credit to the companies having the necessary conditions, many models are presented for the evaluation of their credit risk. But many of these models are classic and the capacity of the company is not considered in the evaluation. In this paper we evaluate the credit risk and capacity of all companies and institutions are simultaneously analysed with using neural network model and some independent variables. For this purpose, we used the multilayer perception, linear and logistic regression models. The outcome of the model demonstrates that neural network and logistic regression models have the same ability in predicting credit risk but the neural network is very powerful in predicting the credit capacity of customers.
 
Keyword(s): NEURAL NETWORK, LOGISTIC REGRESSION, LINEAR REGRESSION, CREDIT ALLOCATION
 
 
International related papers: 
 
Most related Highly related Moderately related Least related
 
References: 
  • Not Registered.
  •  
  •  
 
Citations: 
  • Not Registered.
 
+ Click to Cite.
APA: Copy

MANSORY, A., & AZAR, A. (2002). DESIGNING AND FORMULATING EFFICIENT MODEL FOR CREDIT ALLOCATION MODEL- NEURAL NETWORK, LOGISTIC AND LINEAR REGRESSION APPROACH. MODARRES HUMAN SCIENCES, 6(3(Tome 26)), 125-146. https://www.sid.ir/en/journal/ViewPaper.aspx?id=22186



Vancouver: Copy

MANSORY A., AZAR A.. DESIGNING AND FORMULATING EFFICIENT MODEL FOR CREDIT ALLOCATION MODEL- NEURAL NETWORK, LOGISTIC AND LINEAR REGRESSION APPROACH. MODARRES HUMAN SCIENCES. 2002 [cited 2022January25];6(3(Tome 26)):125-146. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=22186



IEEE: Copy

MANSORY, A., AZAR, A., 2002. DESIGNING AND FORMULATING EFFICIENT MODEL FOR CREDIT ALLOCATION MODEL- NEURAL NETWORK, LOGISTIC AND LINEAR REGRESSION APPROACH. MODARRES HUMAN SCIENCES, [online] 6(3(Tome 26)), pp.125-146. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=22186.



 
 
Persian Abstract Yearly Visit 38
 
 
Latest on Blog
Enter SID Blog