학술논문

Classifying Nitrate in Aqueous Solution Using Supervised Machine Learning Based on Spectroscopic Technique
Document Type
Conference
Source
2022 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR) Lasers and Electro-Optics Pacific Rim (CLEO-PR), 2022 Conference on. :1-2 Jul, 2022
Subject
Components, Circuits, Devices and Systems
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Support vector machines
Spectroscopy
Particle beam optics
Measurement by laser beam
Biomedical measurement
Ions
Principal component analysis
Language
Abstract
We demonstrate the classification of nitrate concentration in mixed solution based on spectroscopy measurements. Dimensionality reduction techniques and supervised machine learning classifiers were employed where the PCA-SVM model outperforms other models with 97.8% accuracy.