A robust approach for root causes identification in machining processes using hybrid learning algorithm and engineering knowledge

2010 ◽  
Vol 23 (5) ◽  
pp. 1833-1847 ◽  
Author(s):  
Shichang Du ◽  
Jun Lv ◽  
Lifeng Xi
Keyword(s):  
Learning Algorithm ◽  
Hybrid Learning ◽  
Machining Processes ◽  
Engineering Knowledge ◽  
Robust Approach ◽  
Hybrid Learning Algorithm

A GENETIC PROGRAMMING-BASED LEARNING ALGORITHMS FOR PRUNING COST-SENSITIVE CLASSIFIERS

2012 ◽  
Vol 11 (02) ◽  
pp. 1250011 ◽  
Author(s):  
ZAHRA NIKDEL ◽  
HAMID BEIGY
Keyword(s):  
Decision Tree ◽  
Genetic Programming ◽  
Learning Algorithm ◽  
Fitness Function ◽  
Learning Algorithms ◽  
Hybrid Learning ◽  
Experimental Results ◽  
Programming Algorithm ◽  
Hybrid Learning Algorithm ◽  
Misclassification Costs

In this paper, we introduce a new hybrid learning algorithm, called DTGP, to construct cost-sensitive classifiers. This algorithm uses a decision tree as its basic classifier and the constructed decision tree will be pruned by a genetic programming algorithm using a fitness function that is sensitive to misclassification costs. The proposed learning algorithm has been examined through six cost-sensitive problems. The experimental results show that the proposed learning algorithm outperforms in comparison to some other known learning algorithms like C4.5 or naïve Bayesian.

scholarly journals Force and torque parameter estimation for a 4-pole hybrid electromagnet by ANFIS hybrid learning algorithm

2017 ◽  
Vol 25 ◽  
pp. 3684-3698
Author(s):  
Murat ATLIHAN ◽  
Barış Can YALÇIN ◽  
Kadir ERKAN
Keyword(s):  
Parameter Estimation ◽  
Learning Algorithm ◽  
Hybrid Learning ◽  
Hybrid Learning Algorithm
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