Credit rating analysis with support vector machines and neural networks: a market comparative study

2004 ◽  
Vol 37 (4) ◽  
pp. 543-558 ◽  
Author(s):  
Zan Huang ◽  
Hsinchun Chen ◽  
Chia-Jung Hsu ◽  
Wun-Hwa Chen ◽  
Soushan Wu
Keyword(s):  
Neural Networks ◽  
Support Vector Machines ◽  
Comparative Study ◽  
Credit Rating ◽  
Support Vector ◽  
Vector Machines

A comparative study of support vector machines and artificial neural networks for predicting precipitation in Iran

2014 ◽  
Vol 119 (3-4) ◽  
pp. 723-731 ◽  
Author(s):  
Omid Hamidi ◽  
Jalal Poorolajal ◽  
Majid Sadeghifar ◽  
Hamed Abbasi ◽  
Zohreh Maryanaji ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Support Vector Machines ◽  
Comparative Study ◽  
Support Vector ◽  
Vector Machines ◽  
Artificial Neural

Comparative Study of Support Vector Machines and Neural Networks Used in Pattern Recognition

2012 ◽  
Vol 562-564 ◽  
pp. 2026-2029
Author(s):  
Shu Xian Zhu ◽  
Xue Li Zhu ◽  
Sheng Hui Guo
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Pattern Recognition ◽  
Support Vector Machine ◽  
Artificial Neural Networks ◽  
Support Vector Machines ◽  
Theoretical Analysis ◽  
Comparative Study ◽  
Support Vector ◽  
Vector Machines

Artificial neural networks and support vector machine (SVM), as two important tools, have widely applied in artificial intelligence and pattern recognition. In this paper, a comparative study has been done for making an analysis on their performances, when they are used in pattern recognition. Through theoretical analysis and confirmed by experimental results, a conclusion can be drawn that support vector machines have obvious advantages over those of traditional neural networks.

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