Identification accuracy improvement for steel species using a least squares support vector machine and laser-induced breakdown spectroscopy
Journal of Analytical Atomic Spectrometry2018Vol. 33(9), pp. 1545–1551
Citations Over TimeTop 14% of 2018 papers
Abstract
Two typical classification methods, partial least squares discriminant analysis (PLS-DA) and a support vector machine (SVM), were used to study the classification of steels with similar constituents.
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