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برق و الکترونیک::
روش Wrapper
Results of applying wrapper methods 48
SVM Support Vector Machines T True TE Tennessee Eastman Tec Technique TI Time Interval TP True Positive Tr Threshold TN True Negative UT Updating Threshold UTP Updating Threshold Parameter VPP Validation Prediction Performance WMC Wrapper Method Classifiers Indices, Parameters and Values bias ∗ Optimum value of bias c=0,1,2,....C Classes (c=0: normal class, c=1: Fault 1 (F1), etc.) ̅
In this section, two main approaches of feature selection algorithms including filter and wrapper methods are investigated.
Wrappers methods are often criticized because they need massive amounts of computation, but efficient search strategies could be devised to assist [97].
For wrapper methods there are three critical topics that must be considered.
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