| 光谱学与光谱分析 |
|
|
|
|
|
| Application of Kohonen and BP Neural Networks to Simultaneous Determination of Tungsten and Molybdenum |
| WANG Jin-ping1,SUN Xiao-bo1,LI Jing-hui2,GAO Li-rang2,NIU Chun-ji3 |
1. College of Science, Laiyang Agricultural University，Qingdao 266109, China
2. College of Chemical Engineering, Anshan University of Science and Technology，Anshan 114002, China
3. Changchun Institute of Applied Chemistry, Chinese Academy of Sciences，Changchun 133002, China |
|
|
|
|
Abstract BP artificial neural networks combined with Kohonen networks were used for the simultaneous determination of tungsten and molybdenum by spectrophotometry. First, the topology structure of Kohonen artificial neural networks was studied, and applied to the wavelength selection of the overlapped spectra of tungsten and molybdenum. Then the most informative wavelengths were selected from the full spectra, and absorbance values were used as the optimal input sets of the three-layer BP neural networks. Compared with the routine method of wavelength selection, the results prove that using Kohonen networks to select the most informative wavelengths can optimize the input layer of BP-ANN, and the prediction ability of BP-ANN is improved. So Kohonen networks can be used as a tool for wavelength selection.
|
|
Received: 2005-07-08
Accepted: 2005-10-28
|
|
|
|
Corresponding Authors:
WANG Jin-ping
|
|
| Cite this article: |
|
WANG Jin-ping,SUN Xiao-bo,LI Jing-hui, et al. Application of Kohonen and BP Neural Networks to Simultaneous Determination of Tungsten and Molybdenum [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 26(12): 2319-2322.
|
|
|
|
| URL: |
|
https://www.gpxygpfx.com/EN/Y2006/V26/I12/2319 |
[1] LI Yan，WANG Jun-de，GU Bing-he(李 燕，王俊德，顾炳和). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，1996，16(6)：844.
[2] CAO Yong-sheng, CHEN Yi-wei, ZU Jin-feng, et al(曹永生，陈奕卫，祖金凤，等). Spectroscopy and Spectral Analysis (光谱学与光谱分析), 2003，23(4)：751.
[3] Zupan J, Gaster J. Anal. Chim. Acta, 1991, 248: 1.
[4] LIANG Yi-zeng(梁逸曾). Analysis of White, Grey and Black Mixture and Their Chemometrics Algorithms(白灰黑杂多组分体系的分析及化学计量学). Changsha：Hunan Science and Technology Press(长沙：湖南科学技术出版社)，1996. 60.
[5] Zupan J, Novic M, Ruisanchez I. Chem. Intell. Lab. Syst., 1997, 38: 1.
[6] Rossi D T, Desilets D J, Pardure H L. Anal. Chim. Acta, 1984, 161: 191.
[7] Rossi D T, Pardure H L. Anal. Chim. Acta, 1985, 175: 153.
[8] Frenich A G, Jouan D, Rimmbaud, D L, et al. Analyst, 1995, 120: 2787.
[9] Centner V, Massart D L, DeNoord O E, et al. Anal. Chem., 1996, 68: 3851.
[10] Todeschini R, Galvagni D. Trends in Analytical Chemistry, 1999, 18(2): 93.
[11] ZHOU Ji-cheng, ZHOU Qing-shan(周继成, 周青山). Artificial Neural Network-The Realization of the Sixth Generation Computer(人工神经网络—第六代计算机的实现). Beijing: Science Popularization Press(北京：科学普及出版社), 1995. 39.
|
| [1] |
GAO Feng1, 2, XING Ya-ge3, 4, LUO Hua-ping1, 2, ZHANG Yuan-hua3, 4, GUO Ling3, 4*. Nondestructive Identification of Apricot Varieties Based on Visible/Near Infrared Spectroscopy and Chemometrics Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 44-51. |
| [2] |
CHU Bing-quan1, 2, LI Cheng-feng1, DING Li3, GUO Zheng-yan1, WANG Shi-yu1, SUN Wei-jie1, JIN Wei-yi1, HE Yong2*. Nondestructive and Rapid Determination of Carbohydrate and Protein in T. obliquus Based on Hyperspectral Imaging Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3732-3741. |
| [3] |
LUO Li, WANG Jing-yi, XU Zhao-jun, NA Bin*. Geographic Origin Discrimination of Wood Using NIR Spectroscopy
Combined With Machine Learning Techniques[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3372-3379. |
| [4] |
ZHANG Shu-fang1, LEI Lei2, LEI Shun-xin2, TAN Xue-cai1, LIU Shao-gang1, YAN Jun1*. Traceability of Geographical Origin of Jasmine Based on Near
Infrared Diffuse Reflectance Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3389-3395. |
| [5] |
SUN Cheng-yu1, JIAO Long1*, YAN Na-ying1, YAN Chun-hua1, QU Le2, ZHANG Sheng-rui3, MA Ling1. Identification of Salvia Miltiorrhiza From Different Origins by Laser
Induced Breakdown Spectroscopy Combined with Artificial Neural
Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3098-3104. |
| [6] |
LIU Shu1, JIN Yue1, 2, SU Piao1, 2, MIN Hong1, AN Ya-rui2, WU Xiao-hong1*. Determination of Calcium, Magnesium, Aluminium and Silicon Content in Iron Ore Using Laser-Induced Breakdown Spectroscopy Assisted by Variable Importance-Back Propagation Artificial Neural Networks[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3132-3142. |
| [7] |
LIU Xian-yu1, YANG Jiu-chang1, 2, TU Cai1, XU Ya-fen1, XU Chang3, CHEN Quan-li2*. Study on Spectral Characteristics of Scheelite From Xuebaoding, Pingwu County, Sichuan Province, China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2550-2556. |
| [8] |
LIU Zhao1, 2, LI Hua-peng1, CHEN Hui1, 2, ZHANG Shu-qing1*. Maize Yield Forecasting and Associated Optimum Lead Time Research Based on Temporal Remote Sensing Data and Different Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2627-2637. |
| [9] |
ZHANG Rong1, 2, DUAN Ning1, 3, JIANG Lin-hua1, 3*, XU Fu-yuan3, JIN Wei3, LI Jian-hui1. Study on Optical Path Optimization for Direct Determination of
Spectrophotometry of High Concentration Hexavalent Chromium
Solution by Ultraviolet Visible Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1829-1837. |
| [10] |
YUAN Shu, WU Ding*, WU Hua-ce, LIU Jia-min, LÜ Yan, HAI Ran, LI Cong, FENG Chun-lei, DING Hong-bin. Study on the Temporal and Spatial Evolution of Optical Emission From the Laser Induced Multi-Component Plasma of Tungsten Carbide Copper Alloy in Vacuum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1394-1400. |
| [11] |
SU Ling1, 2, BU Ya-ping1, 2, LI Yuan-yuan2, WANG Qi1, 2*. Study on the Prediction Method of Pleurotus Ostreatus Protein and
Polysaccharide Content Based on Fourier Transform Infrared
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1262-1267. |
| [12] |
WU Cheng-zhao1, WANG Yi-tao1, HU Dong1, SUN Tong1, 2*. Research Progress of Near-Infrared Spectroscopy in the Detection of
Edible Oil Adulteration[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 685-691. |
| [13] |
LI Zi-yi1, LI Rui-lan1, LI Can-lin1, WANG Ke-ru2, FAN Jiu-yu3, GU Rui1*. Identification of Tibetan Medicine Zhaxun by Infrared Spectroscopy
Combined With Chemometrics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 526-532. |
| [14] |
DONG Xin-xin, YANG Fang-wei, YU Hang, YAO Wei-rong, XIE Yun-fei*. Study on Rapid Nondestructive Detection of Pork Lean Freshness Based on Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 484-488. |
| [15] |
BAO Pei-jin1, CHEN Quan-li1, 3*, ZHAO An-di1, REN Yue-nan2. Identification of the Origin of Bluish White Nephrite Based on
Laser-Induced Breakdown Spectroscopy and Artificial
Neural Network Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 25-30. |
|
|
|
|
