Spectroscopy and Spectral Analysis, Volume. 42, Issue 5, 1439(2022)
Classification of Mycoplasma Pneumoniae Strains Based on One-Dimensional Convolutional Neural Network and Raman Spectroscopy
Fig. 1. Raman spectra of two strains of mycoplasma pneumoniae
Fig. 2. Raman spectral data enhancement
Fig. 3. Original spectrum and spectrum with noise
(a): Original spectrum; (b): Spectrum with Gaussian noise; (c): Spectrum with poisson noise; (d): Spectrum with Multiplicative noise
Fig. 4. 1-D convolutional neural network Raman spectra classification model
Fig. 5. Accuracy and loss curve of 1D-CNN model
Fig. 6. Confusion matrix of different algorithms with three kinds of noises
(a): Gaussian noise; (b): Poisson noise; (c): Multiplicative noise
Fig. 7. ROC curves of different algorithms with three kinds of noises
(a): Gaussian noise; (b): Poisson noise; (c): Multiplicative noise
Fig. 8. Classification results with different algorithms for different intensity of noise
|
Get Citation
Copy Citation Text
Yong ZHAO, Men-yuan HE, Bo-lin WANG, Rong ZHAO, Zong MENG. Classification of Mycoplasma Pneumoniae Strains Based on One-Dimensional Convolutional Neural Network and Raman Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(5): 1439
Category: Research Articles
Received: Apr. 13, 2021
Accepted: --
Published Online: Nov. 10, 2022
The Author Email: