[1] [1] WANG L, SUN J, CHEN M, et al. Genetic diversity and quality traits of Angelica dahurica from different production regions[J]. Journal of Zhejiang University,2023, 40(01): 30-37. (in Chinese)

[2] [2] WU Y, CAO L, WANG Y, et al. Identification of metal elements in Chinese medicinal materials or excipients using LIBS spectroscopy[J]. Journal of pharmaceutical analysis, 2019, 39(03): 557-564. (in Chinese)

[3] [3] ZHENG P C, ZENG S, WANG J M, et al. Study on recognition of dendrobium officinale grades using LIBS[J]. Spectroscopy and spectral analysis, 2020,40(03): 941-944. (in Chinese)

[4] [4] CAI Y, ZHAO Z F, GUO L B, et al. Traceability study of dioscorea opposita herbal slices based on LIBS[J].Spectroscopy and spectral analysis, 2023, 43(01):138-144. (in Chinese)

[5] [5] MAGAIHAES A B, SENSI G S, RANULFI A, et al.Discrimination of genetically very close accessions of sweet orange (citrus sinensis L. Osbeck) by laser-induced breakdown spectroscopy (LIBS)[J]. Molecules,2021, 26(11): 3092.

[6] [6] LUKAS B, ZUZANA G, HANS L, et al. A critical review of recent trends in sample classification using laser-induced breakdown spectroscopy (LIBS)[J]. Trends in analytical chemistry, 2022: 116859.

[7] [7] SUN J X, LI H L, LV H S, et al. Research on heavy metal detection based on laser-induced breakdown spectroscopy technology under magnetic field constraint[J]. Journal of optoelectronics·laser, 2023, 34(04):422-428. (in Chinese)

[8] [8] JAKUB N, MICKAL K. Selecting training sets for support vector machines: a review[J]. Artificial intelligence review, 2019, 52(2): 857-900.

[9] [9] WU C T, WU L X, QIU C H, et al. Experimental and numerical studies on lithium-ion battery heat generation behaviors[J]. Energy reports, 2023, 9: 5064-5074.

[10] [10] GAO H, XUE L Y. Fitting LED spectral model with back propagation neural network based on improved genetic algorithm[J]. Progress in laser and optoelectronics,2017, 54(07): 294-302. (in Chinese)

[11] [11] HAN Q, YIN C, DENG Y Y, et al. Towards classification of architectural styles of Chinese traditional settlements using deep learning: a dataset, a new framework,and its interpretability[J]. Remote sensing, 2022,14(20): 5250.

[12] [12] DANA B H, MOHAMMAD K. A recursive general regression neural network (R-GRNN) oracle for classification problems[J]. Expert systems with applications,2019, 135: 273-286.

[13] [13] WANG Y, YANG L. Joint learning adaptive metric and optimal classification hyperplane[J]. Neural networks,2022, 148: 111-120.

[14] [14] WANG Y, HONG K, ZOU J, et al. A CNN-based visual sorting system with cloud-edge computing for flexible manufacturing systems[J]. IEEE transactions on industrial informatics, 2019, 16(7): 4726-4735.

[15] [15] JIRAPONG M, LUISE P, ACHIM S, et al. Human forehead recognition: a novel biometric modality based on near-infrared laser backscattering feature image using deep transfer learning[J]. IET biometrics, 2020,9(1): 31-37.

[16] [16] SUN B, JIANG D, ZUO Z, et al. Gender recognition via fused silhouette features based on visual sensors[J].IEEE sensors journal, 2019, 19(20): 9496-9503.