scholarly journals A self-adaptive classification for the dissociating privacy agent

Author(s):  
Marc Juarez ◽  
Vicenc Torra
2019 ◽  
Vol 327 ◽  
pp. 108346 ◽  
Author(s):  
Kais Belwafi ◽  
Sofien Gannouni ◽  
Hatim Aboalsamh ◽  
Hassan Mathkour ◽  
Abdelfattah Belghith

2011 ◽  
Vol 354-355 ◽  
pp. 1022-1026 ◽  
Author(s):  
Zhuo Dong ◽  
Yong Li Zhu

Gene Expression Programming (GEP), which is suitable for transformer fault diagnosis Classification, is combined with transformer oil dissolved gas analysis (DGA), and also a method of transformer fault diagnosis based on self-adaptive GEP classification algorithm is proposed. We choose 400 groups of DGA measured data which includes a variety of failure and does not redundant as the training samples and test samples of the GEP classifier. A large number of diagnostic examples show that the proposed self-adaptive classification GEP is suitable for transformer fault diagnosis, and its performance is better than using Naive Bayes (NB) classifier, BP network and Immune classification.


2018 ◽  
Vol 62 (3) ◽  
pp. 304011-3040111 ◽  
Author(s):  
Shih-An Li ◽  
Hsuan-Ming Feng ◽  
Sheng-Po Huang ◽  
Chen-You Chu

1984 ◽  
Author(s):  
D. GRAUPE ◽  
J. GROSSPIETSCH ◽  
S. BASSEAS

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