A Progressive Combined Variable Selection Method for Near-Infrared Spectral Analysis Based on Three-Step Hybrid Strategy
A specific variable selection method was proposed based on a three-step hybrid strategy for near-infrared spectral analysis. By analyzing functions of each step and characteristics of various variable selection methods, synergy interval partial least squares, iterative variable subset optimization,...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Journal of Spectroscopy |
| Online Access: | http://dx.doi.org/10.1155/2022/2190893 |
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| _version_ | 1832565814944858112 |
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| author | Hongmin Sun Fanze Kong Cheng Xiu Weizheng Shen Yan Wang |
| author_facet | Hongmin Sun Fanze Kong Cheng Xiu Weizheng Shen Yan Wang |
| author_sort | Hongmin Sun |
| collection | DOAJ |
| description | A specific variable selection method was proposed based on a three-step hybrid strategy for near-infrared spectral analysis. By analyzing functions of each step and characteristics of various variable selection methods, synergy interval partial least squares, iterative variable subset optimization, and bootstrapping soft shrinkage were chosen for three steps. To test the effect of the three-step hybrid method, it was applied to corn and soil spectral data and compared to other common methods. Results for oil content in corn data showed that the three-step hybrid variable selection method selected 1% variables of full spectrum, calibration determination coefficient, and prediction determination coefficient reached 0.998 and 0.993 where the explained variance was increased by 27.30%. It could effectively extract variables related to the tested substance and provide a new variable selection method for near-infrared spectral analysis. |
| format | Article |
| id | doaj-art-c78985c7cf834125a660942fc6944cd5 |
| institution | Kabale University |
| issn | 2314-4939 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Spectroscopy |
| spelling | doaj-art-c78985c7cf834125a660942fc6944cd52025-02-03T01:06:35ZengWileyJournal of Spectroscopy2314-49392022-01-01202210.1155/2022/2190893A Progressive Combined Variable Selection Method for Near-Infrared Spectral Analysis Based on Three-Step Hybrid StrategyHongmin Sun0Fanze Kong1Cheng Xiu2Weizheng Shen3Yan Wang4College of Electrical and InformationCollege of Electrical and InformationThe 49TH Research Institute of China Electronics Technology Group CorporationCollege of Electrical and InformationCollege of Electrical and InformationA specific variable selection method was proposed based on a three-step hybrid strategy for near-infrared spectral analysis. By analyzing functions of each step and characteristics of various variable selection methods, synergy interval partial least squares, iterative variable subset optimization, and bootstrapping soft shrinkage were chosen for three steps. To test the effect of the three-step hybrid method, it was applied to corn and soil spectral data and compared to other common methods. Results for oil content in corn data showed that the three-step hybrid variable selection method selected 1% variables of full spectrum, calibration determination coefficient, and prediction determination coefficient reached 0.998 and 0.993 where the explained variance was increased by 27.30%. It could effectively extract variables related to the tested substance and provide a new variable selection method for near-infrared spectral analysis.http://dx.doi.org/10.1155/2022/2190893 |
| spellingShingle | Hongmin Sun Fanze Kong Cheng Xiu Weizheng Shen Yan Wang A Progressive Combined Variable Selection Method for Near-Infrared Spectral Analysis Based on Three-Step Hybrid Strategy Journal of Spectroscopy |
| title | A Progressive Combined Variable Selection Method for Near-Infrared Spectral Analysis Based on Three-Step Hybrid Strategy |
| title_full | A Progressive Combined Variable Selection Method for Near-Infrared Spectral Analysis Based on Three-Step Hybrid Strategy |
| title_fullStr | A Progressive Combined Variable Selection Method for Near-Infrared Spectral Analysis Based on Three-Step Hybrid Strategy |
| title_full_unstemmed | A Progressive Combined Variable Selection Method for Near-Infrared Spectral Analysis Based on Three-Step Hybrid Strategy |
| title_short | A Progressive Combined Variable Selection Method for Near-Infrared Spectral Analysis Based on Three-Step Hybrid Strategy |
| title_sort | progressive combined variable selection method for near infrared spectral analysis based on three step hybrid strategy |
| url | http://dx.doi.org/10.1155/2022/2190893 |
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