Transfer learning based on dynamic time warping algorithms to improve qualitative analysis and quantitative prediction of rocks over multiple LIBS instruments

Abstract

Laser-Induced Breakdown Spectroscopy (LIBS) instruments has gradually become an attractive technical tool in the field of rock chemical composition analysis due to its advantages of simplicity, rapid detection and simultaneous...

Atomic spectrometry update – a review of advances in environmental analysis

“…Data processing is a crucial aspect of LIBS analysis. To enable the sharing of prediction models between LIBS instruments, a transfer-learning method based on dynamic time warping (DTW) algorithms was proposed by Rao et al 212 Even though the method based on DTW was superior to a piecewise direct standardisation algorithm for prediction of both lithology and quantitative elemental composition on another instrument, the Pearson coefficient was introduced to improve the performance of the prediction further. Multivariate regression models based 213 on machine and transfer learning were developed to correct for chemical and physical matrix effects.…”