光谱学与光谱分析 |
|
|
|
|
|
Qualitative Analysis of Raman Spectra Based on Pulse Coupled Neural Network |
WANG Cheng1, LI Shao-fa1, WU Zheng-jie2, HE Kai1, HUANG Yao-xiong2 |
1. Department of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China 2. Institute of Biomedical Engineering, Jinan University, Guangzhou 510632, China |
|
|
Abstract By studying on pulse coupled neural network (PCNN) and Raman spectra qualitative analysis, a method based on PCNN for Raman spectra qualitative analysis was proposed. After encoding the Raman spectra by using PCNN neurons’ characteristics of fatigue and refractory period, the improved Horspool algorithm was used to match the code corresponding to the detected sample with all of the base code in the database one by one, and then their matching similarity was acquired to determine the sample type. Experimental results and analysis of data proved that the method proposed in this paper is accurate and effective for Raman spectra qualitative analysis. Meanwhile, traditional qualitative analysis method based on spectral template has some deficiencies, like that it is difficult to determine the characteristic peak of the detected sample and the matching analysis process has a high degree of redundancy. While our proposed method not only can avoid these deficiencies very well, but also needs a small amount of data storage. The requirement of the storage space was only 5.8% of that used in the traditional qualitative analysis method based on spectral template.
|
Received: 2009-11-06
Accepted: 2010-02-09
|
|
Corresponding Authors:
WANG Cheng
E-mail: wzhjmoon@163.com
|
|
[1] Eckhorn R, Reitboeck H J, Arndt M et al. Neural Computation, 1990, 2(3): 293. [2] Johnson J L. Appl. Opt., 1994, 33(26): 6239. [3] Ehud Ahissar. Neural Computation, 1998, 10(3): 597. [4] Johnson J L, Padgett M L. IEEE Trans. On Neural Networks, 1999, 10(3): 480. [5] Kuntimad G, Ranganath H S. IEEE Trans. On Neural Networks, 1999, 10(3): 591. [6] Jcaufield H, Kinser J M. IEEE Trans. On Neural Networks, 1999, 10(3): 604. [7] Carey P R. Biochemical Applications of Raman and Resonance Raman Spectroscopies. New York: Academic Press, 1982. [8] Lyon L A, Keating C D, Fox A P, et al. Natan. Anal. Chem., 1998, 70: 341. [9] Shen C, Peacock A J, Alamo R G, et al. Appl. Spectrosc., 1992, 46(8): 1226. [10] Kang, L L, Huang Y X, Liu W J, et al. Biopolymers, 2008, 89(11): 951. [11] QIAN Li-jin, WU Ze-jun, DONG Hong-bin(钱立进, 吴泽俊, 董红斌). Computer Engineering(计算机工程), 2004, 30(1): 60. [12] Johnson J L, Ranganath H, Kuntimad G,et al. In: Omidvar O and Dayhoff J, Ed. Neural Networks and Pattern Recognition. San Diego, CA: Academicpp, 1998. 1. [13] Mammone J F, Sharma S K. J. Phys. Chem., 1980, 84: 3130. [14] LIU Wen-han, YANG Wei, WU Xiao-qiong, et al(刘文涵, 杨 未, 吴小琼,等). Chinese J. Anal. Chem.(分析化学), 2007, 35(3): 416.
|
[1] |
LIU Liang-yu, YIN Zuo-wei*, XU Feng-shun. Spectral Characteristics and Genesis Analysis of Gem-Grade Analcime From Daye, Hubei[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2799-2804. |
[2] |
LIN Jing-tao, XIN Chen-xing, LI Yan*. Spectral Characteristics of “Trapiche-Like Sapphire” From ChangLe, Shandong Province[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1199-1204. |
[3] |
HU Shuang1, LIU Cui-mei2*, JIA Wei2, HUA Zhen-dong2. Rapid Qualitative Analysis of Synthetic Cannabinoids by Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 145-150. |
[4] |
MA Ping1, 2, Andy Hsitien Shen1*, LUO Heng1, ZHONG Yuan1. Study on Laser Raman Spectrum Characteristics of Jadeite From Common Origins[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3441-3447. |
[5] |
LI Wei, ZHANG Xue-li, SU Qin, ZHAO Rui, SONG Hai-yan*. Qualitative Analysis of Chlorpyrifos Pesticide Residues in Cabbage Leaves Based on Visible Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 80-85. |
[6] |
LI Hao-guang1, 2, YU Yun-hua1, 2, PANG Yan1, SHEN Xue-feng1, 2. Research of Parameter Optimization of Preprocessing and Feature Extraction for NIRS Qualitative Analysis Based on PSO Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(09): 2742-2747. |
[7] |
XU Lin1, HE Hong-yuan1*, LIU Cui-mei2*, HUA Zhen-dong2. Study on Vibrational Spectral Characteristics of Fentanyl-Class Substances[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(09): 2829-2834. |
[8] |
SHEN Yu, YUAN Yu-bin*, PENG Jing. Research on Near Infrared and Color Visible Fusion Based on PCNN in Transform Domain[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(07): 2023-2027. |
[9] |
LIU Shi-jie1, 2, LI Chun-lai1,3*, XU Rui1, TANG Guo-liang1, 2, XU Yan1, 2, 4, WU Bing1, 2, WANG Jian-yu1, 2, 3*. Method for Evaluating Spectral Similarity Based on First-Order Gradient Information[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(03): 776-781. |
[10] |
FU Xing-hu, ZHAO Fei, WANG Zhen-xing, LU Xin, FU Guang-wei, JIN Wa, BI Wei-hong. Quantitative Analysis of Goat Serum Protein Content by Raman Spectroscopy Based on IABC-SVR[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(02): 540-545. |
[11] |
ZHOU Yue, WANG Shi-bo*, GE Shi-rong, WANG Sai-ya, XIANG Yang, YANG En, LÜ Yuan-bo. Near Infrared Spectral Characteristics and Qualitative Analysis of Typical Coal-Rock Under Different Detection Distances and Angles[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(09): 2737-2742. |
[12] |
CHEN Quan-li1, WANG Hai-tao2*, LIU Xian-yu3, QIN Chen1, BAO De-qing1. Study on Gemology Characteristics of the Turquoise from Mongolia[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(07): 2164-2169. |
[13] |
LI Jia-jia1*, LIU Jing-li1, JIN Ru-yi1, TANG Yu-ping1, YUE Shi-jun1,WANG Li-wen2, LONG Xu1, ZHANG Guang-hui1, MENG Qing-hua1, LI Rong-xi3. Quantitative Measurement of Artemisinin Content in Chinese Traditional Compound Medicine by Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(08): 2403-2408. |
[14] |
LI Hai-yang, LIU Sheng*. A New Method for Qualitative Analysis of Near Infrared Spectra of Textiles[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(07): 2142-2146. |
[15] |
ZHANG Yan-jun1, 2, ZHANG Fang-cao1, FU Xing-hu1*, JIN Pei-jun1, HOU Jiao-ru1. Detection of Fatty Acid Content in Mixed Oil by Raman Spectroscopy Based on ABC-SVR Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(07): 2147-2152. |
|
|
|
|