Spectroscopy and Spectral Analysis, Volume. 42, Issue 3, 749(2022)
Near-Infrared Spectral Modeling Based on Stacked Supervised Auto-Encoder
Figures & Tables(12)
Fig. 5. Structure of stack supervised auto-encoder
(a): Stack supervised AE; (b): Supervised AE
Fig. 7. The influence of different learning rates and training times on the model (a), (b): Corn; (c), (d): Yellow wine
Fig. 8. Prediction results of different modeling methods for corn data
(a): PLSR model; (b): BP model; (c): SAE model; (d): SSAE model
Fig. 9. Prediction results of different modeling methods for yellow wine data
(a): PLSR model; (b): BP model; (c): SAE model; (d): SSAE model
Table 1. Prediction results based on different pretreatment methods
View tableView in ArticleTable 1. Prediction results based on different pretreatment methods
建模
方法预处理
方法玉米数据集 黄酒数据集 RMSEP RPD RMSEP PRD PLSR 无 0.235 1 1.109 0.288 1.756 一阶 0.182 9 1.425 0.330 1 1.537 二阶 0.189 8 1.373 0.319 4 1.588 SG 0.235 1 1.109 0.272 7 1.86 MSC 1.999 0.130 4 5.734 0.08 SNV 0.214 7 1.214 0.789 8 0.642 BP 无 0.227 7 1.145 0.172 3 2.944 一阶 0.130 5 1.998 0.166 99 3.039 二阶 0.160 5 1.624 0.197 4 2.57 SG 0.225 8 1.155 0.157 9 3.212 MSC 0.948 2 0.274 9 0.195 1 2.6 SNV 0.207 1.259 0.385 1.318 SAE 无 0.197 2 1.322 0.145 9 3.478 一阶 0.105 3 2.477 0.205 9 2.464 二阶 0.174 4 1.495 0.194 2 2.612 SG 0.227 7 1.145 0.172 7 2.937 MSC 0.181 3 1.438 0.168 3.02 SNV 0.231 5 1.126 0.395 6 1.282 SSAE 无 0.264 1.019 2 0.120 4.227 一阶 0.060 4 4.313 0.367 3 1.318 二阶 0.189 8 1.374 0.281 9 1.8 SG 0.263 7 0.988 8 0.248 1 2.044 MSC 0.483 4 0.539 3 0.690 4 0.734 7 SNV 0.313 2 0.832 3 0.437 6 1.159
Table 2. Prediction results of corn data sets using different modeling methods
View tableView in ArticleTable 2. Prediction results of corn data sets using different modeling methods
方法 玉米数据集 RMSEP RPD PLSR 0.182 9 1.425 BP 0.130 5 1.998 SAE 0.105 3 2.477 SSAE 0.060 4 4.313
Table 3. Prediction results of yellow wine data sets using different modeling methods
View tableView in ArticleTable 3. Prediction results of yellow wine data sets using different modeling methods
方法 黄酒数据集 RMSEP RPD PLSR 0.272 7 1.860 BP 0.157 9 3.212 SAE 0.145 9 3.478 SSAE 0.120 4.227
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Zhi-xing SUN, Zhong-gai ZHAO, Fei LIU. Near-Infrared Spectral Modeling Based on Stacked Supervised Auto-Encoder[J]. Spectroscopy and Spectral Analysis, 2022, 42(3): 749
Paper Information
Category: Research Articles
Received: Feb. 10, 2021
Accepted: Apr. 9, 2021
Published Online: Apr. 19, 2022
The Author Email: SUN Zhi-xing (zhixingsun@stu.jiangnan.edu.cn)
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