Spectroscopy and Spectral Analysis, Volume. 42, Issue 1, 164(2022)
Shrimp Freshness Detection Method Based on Broad Learning System
Fig. 3. Visualization analysis
(a), (b), (c), (d): Spectral curves by using different preprocessing methods; (e), (f), (g), (h): Visualization using t-SNE
Fig. 5. Analysis of effective PC scores and loading
(a): PCA score plot of PC1
Fig. 6. The 2D-COS spectrum of samples with different days of refrigeration
(a): Synchronous contourmap plot; (b): Autocorrelation peak intensity curve
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Rong-ke YE, Qing-chen KONG, Dao-liang LI, Ying-yi CHEN, Yu-quan ZHANG, Chun-hong LIU. Shrimp Freshness Detection Method Based on Broad Learning System[J]. Spectroscopy and Spectral Analysis, 2022, 42(1): 164
Category: Research Articles
Received: Oct. 12, 2020
Accepted: --
Published Online: Mar. 31, 2022
The Author Email: Rong-ke YE (yerongke@163.com)