?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F712%2F&rft.title=Fast+Inversion+of+Eddy+Current+Testing+Data+Through+a+Learning-by-Examples+Approach+for+Robust+Crack+Localization&rft.creator=Salucci%2C+M.&rft.creator=Anselmi%2C+N.&rft.creator=Oliveri%2C+G.&rft.creator=Massa%2C+A.&rft.subject=M+LBE+Learning-by-Example+Methods&rft.description=This+document+presents+a+new+learning-by-example+(LBE)+technique+for+the+computationally-efficient+inversion+of+eddy+current+testing+(ECT)+data+in+non-destructive+testing+and+evaluation+(NDT-NDE)+scenarios.+More+precisely%2C+the+developed+approach+exploits+a+uniform+sampling+strategy+to+build+a+training+set+of+input%2Foutput+(I%2FO)+pairs+and+exploits+such+information+to+train+a+Support+Vector+Regressor+(SVR).+During+the+on-line+testing+phase%2C+previously-unseen+ECT+data+are+given+as+input+to+the+trained+model+in+order+to+predict+the+position+of+a+single+narrow+crack+within+a+planar+conductive+structure.+Some+representative+numerical+results+are+shown%2C+in+order+to+preliminarily+assess+the+capabilities+of+the+developed+approach+when+dealing+with+the+presence+of+a+non-negligible+amount+of+noise+on+test+data.&rft.publisher=University+of+Trento&rft.date=2016&rft.type=Monograph&rft.type=NonPeerReviewed&rft.format=text&rft.language=en&rft.identifier=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F712%2F1%2FFast_Inversion_of_Eddy_Current_Testing_Data_Through_a_Learning-by-Examples_Approach_for_Robust_Crack_Localization.v2.pdf&rft.identifier=++Salucci%2C+M.+and+Anselmi%2C+N.+and+Oliveri%2C+G.+and+Massa%2C+A.++(2016)+Fast+Inversion+of+Eddy+Current+Testing+Data+Through+a+Learning-by-Examples+Approach+for+Robust+Crack+Localization.++Technical+Report.+University+of+Trento.+++++