Sensitivity analysis of designed apodized fiber Bragg grating sensor using artificial neural network and tree-based models
Author:
Publisher
Elsevier BV
Subject
Atomic and Molecular Physics, and Optics
Reference40 articles.
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2. A. Botchkarev, “Evaluating Performance of Regression Machine Learning Models Using Multiple Error Metrics in Azure Machine Learning Studio,” SSRN Electron. J., no. March, 2018, 10.2139/ssrn.3177507.
3. Cost-effective improvement of the performance of AWG-based FBG wavelength interrogation via a cascaded neural network;Chen;Opt. Express,2022
4. The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation;Chicco;PeerJ Comput. Sci.,2021
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