A Comparative Study and Performance Analysis of Classification Techniques: Support Vector Machine, Neural Networks and Decision Trees

2017 ◽  
pp. 13-21 ◽  
Author(s):  
Kumarshankar Raychaudhuri ◽  
Manoj Kumar ◽  
Sanjana Bhanu
Keyword(s):  
Neural Networks ◽  
Support Vector Machine ◽  
Performance Analysis ◽  
Comparative Study ◽  
Decision Trees ◽  
Support Vector ◽  
Classification Techniques ◽  
And Performance

scholarly journals Image Security Performance Analysis for SVM and ANN Classification Techniques

2019 ◽  
Vol 8 (4S2) ◽  
pp. 436-442
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Support Vector Machine ◽  
Performance Analysis ◽  
Support Vector ◽  
System Framework ◽  
Classification Techniques ◽  
Image Security ◽  
Artificial Neural ◽  
Ann Classification

Image Security has been talked about the classification extemporized in numerous structures and utilizing distinctive systems just as innovations. The upgrades continue including the quickest security refreshing the system framework. This proposes a representation for verifying the video framework alongside the system and upgrades it more by relate AI methods SVM (support vector machine) and ANN (Artificial Neural Network). Both the methods are utilized together training and testing classification to produce results which are fitting for investigation reason and subsequently, turn out to be the achievement for security.

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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