scholarly journals Research on Feature Selection Algorithm Based on Relief-F and Genetic Algorithm for Underwater Target

2018 ◽  
Author(s):  
Yong-qiang JI ◽  
Gao-zheng XU ◽  
Peng HAN ◽  
Lan XIE ◽  
Xin ZHANG
Keyword(s):  
Genetic Algorithm ◽  
Feature Selection ◽  
Selection Algorithm ◽  
Feature Selection Algorithm ◽  
Underwater Target

Research on Color Feature Selection Using Genetic Algorithm in Robot Soccer

2012 ◽  
Vol 505 ◽  
pp. 311-316
Author(s):  
Xin Luan ◽  
Ming Chen ◽  
Zheng Yuan Sun ◽  
Da Lei Song ◽  
Lei Hua Ge ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Feature Selection ◽  
Recognition Accuracy ◽  
Feature Subset ◽  
Selection Algorithm ◽  
Feature Selection Algorithm ◽  
Soccer Robot ◽  
Color Feature ◽  
Dichromatic Reflection ◽  
New Feature

Feature selection is a hot topic in the field of pattern recognition. In this paper, we present a new feature selection algorithm which is used on the soccer robot MT-R for the ball recognition. The illumination invariant color feature set is defined based on the dichromatic reflection. By means of genetic algorithm we determine the most discriminating color feature subset. Experimental results show that the proposed color feature subset achieves high object recognition accuracy.

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