Application of Support Vector Machines for Damage Detection in Structures
Support vector machines (SVMs) are a set of supervised learning methods that have recently been applied for structural damage detection due to their ability to form an accurate boundary from a small amount of training data. During training, they require data from the undamaged and damaged structure....
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Digital WPI
2009
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| Online Access: | https://digitalcommons.wpi.edu/etd-theses/8 https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=1007&context=etd-theses |