| 基于支持向量机的不锈钢冷轧薄板力学性能的预测模型 |
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| 引用本文： | 张春霞,吴良. 基于支持向量机的不锈钢冷轧薄板力学性能的预测模型[J]. 东华大学学报(自然科学版), 2010, 36(5) |
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| 作者姓名： | 张春霞 吴良 |
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| 作者单位： | 东华大学,机械工程学院,上海,201620 |
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| 摘 要： | 介绍了支持向量机(SVM)技术中的支持向量机回归模型原理,建立了不锈钢冷轧薄板力学性能预测模型.结果表明,随着训练样本的增加,模型的预测精度也得到提高.证明应用支持向量机构建不锈钢冷轧薄板力学性能预测的数学模型,能较好地解决小样本和模型预测精度间的矛盾,具有较强的泛化能力.
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| 关 键 词： | 支持向量机(SVM) 不锈钢 冷轧薄板 预测模型 |
SVM-Based Mechanical Model Used to Predict Mechanical Properties of Cold Rolled Stainless Steel Sheet |
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| ZHANG Chun-xia,WU Liang. SVM-Based Mechanical Model Used to Predict Mechanical Properties of Cold Rolled Stainless Steel Sheet[J]. Journal of Donghua University, 2010, 36(5) |
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| Authors: | ZHANG Chun-xia WU Liang |
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| Affiliation: | ZHANG Chun-xia,WU Liang(College of Mechanical Engineering,Donghua University,Shanghai 201620,China) |
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| Abstract: | A support vector machine(SVM) regression model based on the SVM theory is introduced, and mathematical model which is used to predict the mechanical properties of cold rolled stainless steel sheet is built by SVM technology.The results show that the predicting precision of the model is improved with the increasing of the training samples.It can be seen that SVM technology is suitable to be used to build mathematical model for predicting the mechanical properties of cold rolled stainless steel sheet. And the... |
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| Keywords: | support vector machine (SVM) stainless steel cold rolled sheet predicting model |
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