Spectroscopy and Spectral Analysis, Volume. 42, Issue 6, 1698(2022)
Identification of Corn Varieties Based on Bayesian Optimization SVM
Figures & Tables(5)
Fig. 1. Original near-infrared spectra of corn seeds (a) and the spectra after SNV treatment (b)
Fig. 2. Confusion map of the model on the spectral test set
(a): PCA-GS-SVM; (b): PCA-GA-SVM; (c): BO-SVM; (d): PCA-BO-SVM
Table 1. Performance comparison of SVM models under different optimization algorithms
View tableView in ArticleTable 1. Performance comparison of SVM models under different optimization algorithms
模型 惩罚
因子C核参数
γ训练集性能
指标/%测试集性能
指标/%准确率 f1 准确率 f1 GS-SVM 100.0 0.01 98.97 98.97 97.73 97.92 GA-SVM 256.0 0.003 9 98.40 98.13 97.73 97.92 BO-SVM 753.53 0.017 2 96.37 95.96 95.45 95.65
Table 2. Comparison of performance indicators of the three models after dimensionality reduction
View tableView in ArticleTable 2. Comparison of performance indicators of the three models after dimensionality reduction
模型 惩罚
因子C核参数
γ训练集性能
指标/%测试集性能
指标/%准确率 f1 准确率 f1 PCA-GS-SVM 80.00 0.01 98.28 98.27 95.45 95.57 PCA-GA-SVM 254.67 0.0039 97.98 97.71 97.73 97.92 PCA-BO-SVM 503.05 0.0053 99.60 99.57 100 100
Table 3. Comparison of model performance indicators after removing small samples
View tableView in ArticleTable 3. Comparison of model performance indicators after removing small samples
模型 惩罚
因子C核参数
γ训练集性能
指标/%测试集性能
指标/%准确率 f1 准确率 f1 PCA-GS-SVM 10.00 1.00 99.20 99.19 100.0 100.0 PCA-GA-SVM 101.92 2.02 100.0 100.0 100.0 100.0 BO-SVM 577.87 1.58 100.0 100.0 100.0 100.0 PCA-BO-SVM 387.27 1.90 100.0 100.0 100.0 100.0
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Rui-jie FENG, Zheng-guang CHEN, Shu-juan YI. Identification of Corn Varieties Based on Bayesian Optimization SVM[J]. Spectroscopy and Spectral Analysis, 2022, 42(6): 1698
Paper Information
Category: Research Articles
Received: May. 10, 2021
Accepted: --
Published Online: Nov. 14, 2022
The Author Email: FENG Rui-jie (fengruijie11@163.com)
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