scholarly journals A Combined Ant Colony and Differential Evolution Feature Selection Algorithm

Author(s):  
Rami N. Khushaba ◽  
Ahmed Al-Ani ◽  
Akram AlSukker ◽  
Adel Al-Jumaily
2007 ◽  
Vol 10-12 ◽  
pp. 573-577
Author(s):  
Y.H. Gai ◽  
Gang Yu

This paper presents a novel hybrid feature selection algorithm based on Ant Colony Optimization (ACO) and Probabilistic Neural Networks (PNN). The wavelet packet transform (WPT) was used to process the bearing vibration signals and to generate vibration signal features. Then the hybrid feature selection algorithm was used to select the most relevant features for diagnostic purpose. Experimental results for bearing fault diagnosis have shown that the proposed hybrid feature selection method has greatly improved the diagnostic performance.


2020 ◽  
Vol 192 ◽  
pp. 105285 ◽  
Author(s):  
Mohsen Paniri ◽  
Mohammad Bagher Dowlatshahi ◽  
Hossein Nezamabadi-pour

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 69203-69209 ◽  
Author(s):  
Huijun Peng ◽  
Chun Ying ◽  
Shuhua Tan ◽  
Bing Hu ◽  
Zhixin Sun

2018 ◽  
Vol 159 ◽  
pp. 270-285 ◽  
Author(s):  
Hojat Ghimatgar ◽  
Kamran Kazemi ◽  
Mohamamd Sadegh Helfroush ◽  
Ardalan Aarabi

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