[1] Xinlei LIU, Danyan HAN, Qiang XIAO. Infrared spectroscopy combined with chemometrics to test ink type of straight liquid ballpoint pen. Infrared Technology, 44, 882-887(2022).

[2] Long WANG, Long DU, Meng CUI. Micro-infrared spectroscopy analyzing writings about their componential identity from thermosensitive erasable signing pens. Forensic Science and Technology, 47, 280-284(2022).

[3] Wei HOU, Jifen WANG. Rapid identification of the black marker ink based on infrared fingerprint spectroscopy. Laser Technology, 44, 5(2020).

[4] Chen WANG, Weina CHEN. Identification of black straight pen inks by confocal Raman spectroscopy combined with group analysis. Chemical Research and Application, 34, 141-146(2022).

[5] Xiaobin WANG, Xiao MA, Lei WANG. Multi-Layer perceptron pattern recognition of handwriting ink based on PLS-DA raman spectral feature extraction. Laser & Optoelectronics Progress, 58, 130002(2021).

[6] Shihao WU, Yunfeng ZHANG, Jifen WANG. Application progress of X-ray fluorescence spectroscopy in physical evidence ldentification. Chinese Journal of Inorganic Analytical Chemistry, 12, 8(2022).

[7] Weina CHEN, Wenhao CHEN, Xu YANG. Identification of black watercolor ink by hyperspectral technique combined with chemometrics. Spectroscopy and Spectral Analysis, 43, 103-104(2023).

[8] Shuyue WANG, Yuzhu YANG, Weiwen WANG. Identification of black signing-pen ink based on hyperspectral imaging technique. Journal of Instrumental Analysis, 40, 1489-1496(2021).

[9] Hong JIANG, Chenyang JU, Ruijie WU. Spectral analysis of plastic beverage bottles based on cluster analysis. Infrared and Laser Engineering, 47, 0823002-363(2018).

[10] K J WARD, S CHABRILLAT, C NEUMANN et al. A remote sensing adapted approach for soil organic carbon prediction based on the spectrally clustered LUCAS soil database. Geoderma, 353, 297-307(2019).

[11] Jiahao SUN, Wei ZHANG, Jianqin SHI. Selection and application of spectral data preprocessing strategy. Acta Metrologica Sinica, 44, 1284-1292(2023).

[12] Xiaobin MA, Xiao MA, Xincheng WANG et al. Infrared spectral pattern recognition of watercolor pen ink based on artificial neural net work. Laser & Optoelectronics Progress, 57, 153305(2020).

[13] Y XUE, Y TONG, F NERI. An ensemble of differential evolution and Adam for training feed-forward neural networks. Information Sciences, 608, 453-471(2022).

[14] Ali D M ABD, D F CHALOB, A B KHUDHAIR. Networks data transfer classification based on neural networks. Wasit Journal of Computer and Mathematics Science, 1, 207-225(2022).

[15] S R KUMAR, J DEVAKUMAR. Performance evaluation of neural network topologies for online state estimation and fault detection in pressurized water reactor. Annals of Nuclear Energy, 175, 109235.1-109235.9(2022).

[16] Xinye LI, Shenpeng LONG, Jing ZHU. Survey of few-shot learning based on deep neural network. Application Research of Computers, 37, 2241-2247(2020).

[17] C ZUO, J QIAN, S FENG et al. Deep learning in optical metrology: a review. Light: Science & Applications, 4, 466-519(2022).