A deep learning model designed for Raman spectroscopy with a novel hyperparameter optimization method
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy（2022）
Abstract
•A 1-D deep learning (DL) model is designed for Raman spectrum analysis.•A simulated annealing (SA) algorithm is proposed to optimize the hyperparameters of DL.•With SA optimization, complexity of DL model is reduced and performance is improved.
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Key words
Raman spectroscopy,Hyperparameter optimization,Deep learning
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