?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F713%2F&rft.title=An+Innovative+Learning-by-Examples+Approach+for+Crack+Localization+Based+on+Partial+Least+Squares+and+Adaptive+Sampling&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+an+innovative+adaptive+learning-by-examples+(LBE)+strategy+for+accurate+crack+localization+in+planar+conductive+specimens.+The+developed+approach+exploits+a+Partial+Least+Squares+(PLS)+feature+extraction+technique+and+an+adaptive+sampling+strategy+in+order+to+build+optimal+training+sets+of+input%2Foutput+(I%2FO)+pairs.+Such+information+is+then+used+to+train%2C+during+a+preliminary+off-line+phase%2C+a+Support+Vector+Regressor+(SVR)+in+order+to+build+a+fast+surrogate+model+of+the+inverse+operator+linking+ECT+data+and+crack+position.+Finally%2C+during+the+on-line+test+phase+previously-unseen+ECT+measurements+are+given+as+input+to+the+trained+SVR+in+order+to+retrieve+an+estimation+of+the+defect+coordinates.+Some+numerical+results+are+shown%2C+in+order+to+verify+the+effectiveness+of+the+proposed+LBE+inversion+methodology.&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%2F713%2F1%2FAn_Innovative_Learning-by-Examples_Approach_for_Crack_Localization_Based_on_Partial_Least_Squares_and_Adaptive_Sampling.v2.pdf&rft.identifier=++Salucci%2C+M.+and+Anselmi%2C+N.+and+Oliveri%2C+G.+and+Massa%2C+A.++(2016)+An+Innovative+Learning-by-Examples+Approach+for+Crack+Localization+Based+on+Partial+Least+Squares+and+Adaptive+Sampling.++Technical+Report.+University+of+Trento.+++++