我国不同地区钢材大气腐蚀预测算法评估与筛选
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沈坚, 吴柯娴, 何晓宇, 方兴龙
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Evaluation and Screening of Atmospheric Corrosion Prediction Algorithms of Steels in Different Regions of China
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SHEN Jian, WU Kexian, HE Xiaoyu, FANG Xinglong
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表3 不同机器学习模型的特征敏感性指标
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Table 3 Feature sensitivity metrics for different machine learning models
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| Features | GB | SVM | RF | RBFNN | BPNN | LSTM | CNN | RF importance |
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| Experiment time | 16.1% | 6.8% | 18.1% | 5.5% | 7.4% | 17.6% | 31.2% | 15.0% | | RpH | - | 18.1% | 27.8% | 22.2% | 52.1% | 14.5% | 0.1% | 9.6% | | Cr | 0.1% | 6.5% | 0.3% | 2.5% | 3.2% | 8.1% | 4.5% | 8.1% | | R | - | 3.9% | 1.4% | 5.5% | 1.4% | 1.5% | 20.1% | 5.6% | | tsun | - | 2.7% | 5.5% | 3.2% | 3.9% | 0.5% | 0.5% | 5.5% | | Ddust | - | 1.5% | 2.4% | 0.5% | 0.6% | 1.8% | 1.0% | 5.2% | | Dsulfation | 10.3% | 3.1% | 0.1% | 2.1% | 0.4% | 2.0% | 0.2% | 4.6% | | T | 4.7% | 3.3% | 2.5% | 3.8% | 3.9% | 4.2% | 9.8% | 4.5% | | D | - | 2.2% | 0.9% | 3.1% | 0.5% | 3.0% | 0% | 4.4% | | C | 0% | 5.6% | 6.7% | 1.5% | 0.5% | 1.1% | 0.1% | 4.3% | | Cu | 0.1% | 3.0% | 0.6% | 10.7% | 1.9% | 2.6% | 0% | 3.9% | | Si | 0.5% | 1.0% | 7.9% | 4.5% | 1.9% | 5.5% | 0.4% | 3.3% | | Dseasalt | 7.1% | 0.1% | 4.9% | 1.5% | 2.0% | 3.8% | 0.1% | 3.2% | | D | - | 1.5% | 1.2% | 2.3% | 2.9% | 1.0% | 0% | 3.2% | | RH | 59.5% | 13.8% | 3.3% | 6.5% | 5.6% | 13.6% | 7.1% | 2.9% | | H | - | 0.1% | 0.5% | 0.6% | 0.4% | 1.3% | 13.2% | 2.9% | | Mn | - | 2.5% | 2.8% | 6.7% | 0.6% | 1.4% | 0.7% | 2.7% | | S | 1.0% | 0.6% | 3.5% | 6.9% | 2.3% | 2.3% | 0% | 2.3% | | D | | 1.3% | 1.0% | 0.8% | 0.2% | 2.5% | 0% | 2.3% | | P | 0.4% | 7.1% | 6.3% | 1.5% | 3.6% | 5.4% | 0% | 2.1% | | RCl⁻ | - | 0.6% | 1.6% | 4.7% | 2.6% | 2.5% | 10.8% | 1.7% | | Vwind | - | 1.3% | 0.3% | 1.6% | 0.8% | 1.8% | 0% | 1.7% | | Ni | 0.1% | 2.8% | 0% | 0.1% | 0% | 0.1% | 0.1% | 1.5% | | Mo | - | 0.1% | 0.2% | 0.1% | 1.1% | 0.4% | 0% | 0.7% | | Ti | - | 5.5% | 0% | 0.2% | 0.2% | 0.1% | 0% | 0% | | V | - | 3.1% | 0% | 1.0% | 0.1% | 1.0% | 0% | 0% | | Nb | - | 1.2% | 0% | 0.2% | 0% | 0.6% | 0% | 0% | | Al | - | 0.8% | 0.1% | 0.2% | 0.1% | 0% | 0% | 0% |
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