中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Two-Step Simulated Annealing Algorithm for Spectral Data Feature Extraction

文献类型:期刊论文

作者J. Pei, L. Xu, Y. Huang, Q. Jiao, M. Yang, D. Ma, S. Jiang, H. Li, Y. Li, S. Liu, W. Zhang, J. Zhang and X. Tan
刊名Sensors
出版日期2023
卷号23期号:2
ISSN号14248220
DOI10.3390/s23020893
英文摘要To address the shortcomings in many traditional spectral feature extraction algorithms in practical application of low modeling accuracy and poor stability, this paper introduces the "Boruta algorithm-based local optimization process" based on the traditional simulated annealing algorithm and proposes the "two-step simulated annealing algorithm (TSSA)". This algorithm combines global optimization and local optimization. The Boruta algorithm ensures that the feature extraction results are all strongly correlated with the dependent variable, reducing data redundancy. The accuracy and stability of the algorithm model are significantly improved. The experimental results show that compared with the traditional feature extraction method, the accuracy indexes of the inversion model established by using the TSSA algorithm for feature extraction were significantly improved, with the determination coefficient R2 of 0.9654, the root mean square error (RMSE) of 3.6723 μg/L, and the mean absolute error (MAE) of 3.1461 μg/L. © 2023 by the authors.
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源URL[http://ir.ciomp.ac.cn/handle/181722/67783]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
J. Pei, L. Xu, Y. Huang, Q. Jiao, M. Yang, D. Ma, S. Jiang, H. Li, Y. Li, S. Liu, W. Zhang, J. Zhang and X. Tan. A Two-Step Simulated Annealing Algorithm for Spectral Data Feature Extraction[J]. Sensors,2023,23(2).
APA J. Pei, L. Xu, Y. Huang, Q. Jiao, M. Yang, D. Ma, S. Jiang, H. Li, Y. Li, S. Liu, W. Zhang, J. Zhang and X. Tan.(2023).A Two-Step Simulated Annealing Algorithm for Spectral Data Feature Extraction.Sensors,23(2).
MLA J. Pei, L. Xu, Y. Huang, Q. Jiao, M. Yang, D. Ma, S. Jiang, H. Li, Y. Li, S. Liu, W. Zhang, J. Zhang and X. Tan."A Two-Step Simulated Annealing Algorithm for Spectral Data Feature Extraction".Sensors 23.2(2023).

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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