Spectroscopy and Spectral Analysis, Volume. 41, Issue 7, 1998(2021)
Application Progress of Artificial Neural Network in Laser-Induced Breakdown Spectral Data Analysis
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![Typical flow chart for processing mineral LIBS spectral data[13]](/Images/icon/loading.gif){kind=icon}
Fig. 2. Typical flow chart for processing mineral LIBS spectral data[13]
Fig. 3. Fs-LIBS combined with ANN flow chart for plastic classification[27]
Fig. 4. Flow chart of LIBS data analysis for identifying biomass pellets[37]
Table 1. The typical study on the analysis of alloying elements by LIBS technique combined with ANN model
View tableView in ArticleTable 1. The typical study on the analysis of alloying elements by LIBS technique combined with ANN model
合金类型 元素 ANN模型 主要成果 参考文献 碳钢 C(Ⅰ) 247.86 nm GA-BPANN 克服相邻铁谱线干扰 [20] 碳钢; 低合金钢;
微合金钢Cu; V GA-ANN GA用于选取样本目标元素的特征谱线强度比, 提高了ANN分析精度 [21] 碳钢; 低合金钢;
微合金钢Cr; Ni 基于ANN的多谱线
校正(MSLC)用目标和基体元素的多谱线强度比训练神经网络识别等离子体脉冲的变化, 克服了激发条件不稳定的问题和自吸收效应 [22] 铜镍二元合金 Ni BPANN 训练ANN识别谱线强度与等离子体参数之间的基本物理关系, 克服了激光波动和基体效应 [23] 青铜标样 Cu (324.75 nm; 327.39 nm)
Sn (303.41 nm; 326.23 nm)ELM-SVR 以ELM的输出为支持向量回归(SVR)输入的混合模型, 解决ELM模型的超参数过拟合的问题, 提高了定量分析的准确度 [24]
Table 2. Typical studies of LIBS technology combined with ANN model to detect soil metal content
View tableView in ArticleTable 2. Typical studies of LIBS technology combined with ANN model to detect soil metal content
元素 ANN模型 输入变量 主要成果 参考文献 K CNN 主成分和延迟时间确定的时间分辨LIBS数据矩阵 RV=0.996 8; RMSEV=0.078 5 [32] Cd BPANN 分析谱线与谱线区间: (356. 29~346. 93 nm) RC=0.999 9; RP=0.981 5 [33] Pb, Cd BPANN 分析谱线与谱线区间: (346. 29~346. 93 nm);
(405.43~406.17 nm)RP=0.995 3; RMSEP=0.145 2 Ag BPANN 数据最后一列加入一项带有土壤类型的数据, 组成广义光谱 RV=0.999 9; ppm量级 [34]
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Wen-ya ZHAO, Hong MIN, Shu LIU, Ya-rui AN, Jin YU. Application Progress of Artificial Neural Network in Laser-Induced Breakdown Spectral Data Analysis[J]. Spectroscopy and Spectral Analysis, 2021, 41(7): 1998
Paper Information
Category: Research Articles
Received: Jul. 15, 2020
Accepted: --
Published Online: Sep. 8, 2021
The Author Email: ZHAO Wen-ya (182692066@st.usst.edu.cn)
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