Spectroscopy and Spectral Analysis, Volume. 41, Issue 2, 435(2021)
Application of Spectral Clustering and LIF in Recognition of Mine Water Inrush Source Types
Figures & Tables(10)
Fig. 1. Schematic diagram of laser induced fluorescence experiments
Fig. 4. Change diagram of accuracy of MFO-SC model without fixed initial clustering center
Table 1. Initial clustering centers of MFO-SC model
View tableView in ArticleTable 1. Initial clustering centers of MFO-SC model
维度1 维度2 维度3 维度4 维度5 初始聚类中心1 -0.008 7 0.113 1 0.485 5 0.850 1 0.169 3 初始聚类中心2 -0.090 2 -0.600 6 -0.574 7 0.323 1 0.432 1 初始聚类中心3 0.661 4 0.485 7 -0.292 6 0.017 9 0.447 4 初始聚类中心4 -0.584 8 0.506 9 -0.139 0 -0.100 7 0.525 5 初始聚类中心5 0.135 4 -0.371 9 0.578 7 -0.397 2 0.586 8
Table 2. Performance comparison of K-Means model and MFO-SC model
View tableView in ArticleTable 2. Performance comparison of K-Means model and MFO-SC model
识别模型 平均准确率/% 最优准确率/% 准确率方差 K-Means 79.57 99.75 0.028 1 MFO-SC 100 100 0
Table 3. Classification of experimental water sample data sets
View tableView in ArticleTable 3. Classification of experimental water sample data sets
水样类别 训练集(240) 测试集(160) 混合水1(75) 45 30 混合水2(80) 48 32 混合水3(80) 48 32 老空水(30) 18 12 砂岩水(135) 81 54
Table 4. Performance comparison of SVM model and MFO-SVM model
View tableView in ArticleTable 4. Performance comparison of SVM model and MFO-SVM model
识别模型 SVM MFO-SVM c 1 0.374 2 g 1/2 048 0.01 训练集准确率 80% 100% 测试集准确率 80% 95.625%
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Meng-ran ZHOU, Hong-ping SONG, Feng HU, Wen-hao LAI, Jin-guo WANG. Application of Spectral Clustering and LIF in Recognition of Mine Water Inrush Source Types[J]. Spectroscopy and Spectral Analysis, 2021, 41(2): 435
Paper Information
Category: Research Articles
Received: Jan. 5, 2020
Accepted: Apr. 27, 2020
Published Online: Apr. 8, 2021
The Author Email: ZHOU Meng-ran (mrzhou8521@163.com)
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