[1] AN J, HAN Y, LIU B Y. Progress in greening process of rubber vulcanization accelerator MBT[J]. China Rubber, 2015, 31(10): 46-48(in Chinese).
[2] WANG Zh, LI H L, JIA T X, et al. Preparation and spectral analysis of tetra sulfide thiuram vulcanized rubber vulcanization accelerator[J]. Spectroscopy and Spectral Analysis, 2015, 35(07): 1875-1878 (in Chinese).
[3] LIAN J S. Application of vulcanizing agent DTDM in rubber[J]. World Rubber Industry, 2003, 60(3): 14-16 (in Chinese).
[4] ZHANG Zh, MENG K, ZHU L G, et al. Study on terahertz wave absorption characteristics of ischemic rat brain tissue[J]. Laser Technology, 2016, 40(3): 372-376 (in Chinese).
[5] OUYANG A G, CAI H Zh, LI B, et al. Quantitative detection of te-rahertz in benzoic acid in corn flour[J]. Laser Technology, 2020, 44(4): 478-484(In Chinese).
[6] ZHANG H, LI Z, HU F, et al. Sensitive distinction between herbs by terahertz spectroscopy and a metamaterial resonator[J]. Spectro-scopy Letters, 2018, 51(4): 174-178. doi: 10.1080/00387010.2018.1442357
[7] PETERS O, SCHWERDTFEGER M, WIETZKE S, et al. Terahertz spectroscopy for rubber production testing[J]. Polymer Testing, 2013, 32(5): 932-936. doi: 10.1016/j.polymertesting.2013.05.003
[8] LOCKHARTL P, RAMOTOWSKI T, RICE M. Terahertz frequency optical properties of acoustic materials[J]. Polymer Testing, 2014, 34(4): 140-145.
[9] MIAO Q, TIAN L, ZHAO K, et al. Terahertz spectroscopic investigations of three kinds of rubber materials[J]. Modern Scientific Instruments, 2011, 37(5): 110-113(in Chinese).
[10] ZHANG X Sh, Ch T Y, CUI H L, et al. Terahertz dielectric spectrum in thermal aging of natural vulcanized rubber[J]. Infrared and Laser Engineering, 2018, 47(10): 291-296(in Chinese).
[11] SIQUEIRA L F S, MORAIS C L M, ARAU'JO JU'NIOR R F, et al. SVM for FT-MIR prostate cancer classification: An alternative to the traditional methods[J]. Journal of Chemometrics, 2018, 32(12): 12-14.
[12] PASADAS D J, RAMOS H G, FENG B, et al. Defect classification with SVM and wideband excitation in multilayer aluminum plates[J]. IEEE Transactions on Instrumentation and Measurement, 2020, 69(1): 241-248. doi: 10.1109/TIM.2019.2893009
[13] LIU Z, ZHOU F, QIN Z, et al. Classification of stellar spectra with SVM based on within-class scatter and between-class scatter[J]. Astrophysics and Space Science, 2018, 363(7): 140-145. doi: 10.1007/s10509-018-3366-2
[14] QIN B Y. Application of terahertz spectroscopy combined with stoichiometry in rapid detection of crop pesticide residues[D]. Xi'an: Xidian University, 2018: 67-68(in Chinese).
[15] CHANG B, TSAI H, YEN C. SVM-PSO based rotation-invariant image texture classification in SVD and DWT domains[J]. Engineering Applications of Artificial Intelligence, 2016, 52(6): 96-107.
[16] WANG X, GUAN S, HUA L, et al. Classification of spot-welded joint strength using ultrasonic signal time-frequency features and PSO-SVM method[J]. Ultrasonics, 2019, 91(1): 161-169.
[17] CHEN T, CAI Zh H, HU F R, et al. Terahertz time-domain spectroscopy study of structurally similar monosaccharide and disaccharide molecules[J]. Spectroscopy and Spectral Analysis, 2019, 39(3): 686-692(in Chinese).
[18] QIN B, LI Z, CHEN T, et al. Identification of genetically modified cotton seeds by terahertz spectroscopy with MPGA-SVM[J]. Optik, 2017, 142: 576-582. doi: 10.1016/j.ijleo.2017.06.030
[19] KUANG F J, XU Y H, ZHANG S Y. Hybrid kernel SVM parameter optimization based on improved chaotic particle swarm and its application[J]. Application Research of Computers, 2014, 31(3): 671-674(In Chinese).
[20] WANG X M, WANG H F, YAO N F. Parametric optimization of laser displacement sensor based on particle swarm optimization algorithm[J]. Laser Technology, 2018, 42(2): 181-186(in Chin-ese).
[21] DENG X, LIU Q, DENG Y, et al. An improved method to construct basic probability assignment based on the confusion matrix for classification problem[J]. Information Sciences, 2016, 340/341(9): 250-261.