A Two-Step Simulated Annealing Algorithm for Spectral Data Feature Extraction

被引：3

作者：

Pei, Jian ^{[1
,2
]}

Xu, Liang ^{[1
]}

Huang, Yitong ^{[3
]}

Jiao, Qingbin ^{[1
]}

Yang, Mingyu ^{[1
]}

Ma, Ding ^{[1
]}

Jiang, Sijia ^{[1
]}

Li, Hui ^{[1
,2
]}

Li, Yuhang ^{[1
,2
]}

Liu, Siqi ^{[1
,2
]}

Zhang, Wei ^{[1
,2
]}

Zhang, Jiahang ^{[1
,2
]}

Tan, Xin ^{[1
,4
]}

机构：

[1] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Beijing 100049, Peoples R China

[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China

[3] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Peoples R China

[4] Chinese Acad Sci, Ctr Mat Sci & Optoelect Engn, Beijing 100049, Peoples R China

来源：

SENSORS | 2023年 / 23卷 / 02期

关键词：

spectral detection; feature extraction; cyanobacteria biomass; lake eutrophication; quantitative inversion; VARIABLE SELECTION; LAKE TAIHU; CHINA; CLASSIFICATION; NUTRIENTS; REDUCTION;

D O I：

10.3390/s23020893

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

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 R-2 of 0.9654, the root mean square error (RMSE) of 3.6723 mu g/L, and the mean absolute error (MAE) of 3.1461 mu g/L.

引用

页数：14

共 28 条

[1] Environmental changes in Chaohu Lake (southeast, China) since the mid 20th century: The interactive impacts of nutrients, hydrology and climate [J].

Chen, Xu ;

Yang, Xiangdong ;

Dong, Xuhui ;

Liu, Enfeng .

LIMNOLOGICA, 2013, 43 (01) :10-17

[2] Nutrient dynamics linked to hydrological condition and anthropogenic nutrient loading in Chaohu Lake (southeast China) [J].

Chen, Xu ;

Yang, Xiangdong ;

Dong, Xuhui ;

Liu, Qian .

HYDROBIOLOGIA, 2011, 661 (01) :223-234

[3] The Relation Between Pearson's Correlation Coefficient r and Salton's Cosine Measure [J].

Egghe, Leo ;

Leydesdorff, Loet .

JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2009, 60 (05) :1027-1036

[4] Solving the traveling salesman problem based on an adaptive simulated annealing algorithm with greedy search [J].

Geng, Xiutang ;

Chen, Zhihua ;

Yang, Wei ;

Shi, Deqian ;

Zhao, Kai .

APPLIED SOFT COMPUTING, 2011, 11 (04) :3680-3689

[5] A Method for Application of Classification Tree Models to Map Aquatic Vegetation Using Remotely Sensed Images from Different Sensors and Dates [J].

Jiang, Hao ;

Zhao, Dehua ;

Cai, Ying ;

An, Shuqing .

SENSORS, 2012, 12 (09) :12437-12454

[6]

Jin X., 1990, SPECIFICATION LAKE E

[7] Feature reduction of hyperspectral imagery using hybrid wavelet-principal component analysis [J].

Kaewpijit, S ;

Le Moigne, J ;

El-Ghazawi, T .

OPTICAL ENGINEERING, 2004, 43 (02) :350-362

[8] Electric impedance spectroscopy feature extraction for tissue classification with electrode embedded surgical needles through a modified forward stepwise method [J].

Kent, B. ;

Rossa, C. .

COMPUTERS IN BIOLOGY AND MEDICINE, 2021, 135

[9] OPTIMIZATION BY SIMULATED ANNEALING [J].

KIRKPATRICK, S ;

GELATT, CD ;

VECCHI, MP .

SCIENCE, 1983, 220 (4598) :671-680

[10] Feature Selection with the Boruta Package [J].

Kursa, Miron B. ;

Rudnicki, Witold R. .

JOURNAL OF STATISTICAL SOFTWARE, 2010, 36 (11) :1-13

← 1 2 3 →