| 基于支持向量机的加工误差预测建模方法研究 |
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| 引用本文： | 江亮,刘健,潘双夏.基于支持向量机的加工误差预测建模方法研究[J].组合机床与自动化加工技术,2005(8):13-15. |
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| 作者姓名： | 江亮 刘健 潘双夏 |
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| 作者单位： | 浙江大学,机械设计研究所,杭州,310027 |
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| 基金项目： | 国家高技术研究发展计划(863计划)，浙江省科研项目 |
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| 摘 要： | 误差补偿是提高机械加工精度的有效途径,其中误差的建模是关键.在分析现有加工误差预测技术不足的基础上,提出基于支持向量机的加工误差回归建模和预测方法,并对实际应用中的问题进行了分析和总结.通过实例验证及与其它建模方法的对比,表明该方法具有优良的预测性能,为加工误差预测提供了一种新的可行方法.
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| 关 键 词： | 支持向量机 误差建模 误差预测 参数选择 |
| 文章编号： | 1001-2265(2005)08-0013-03 |
| 收稿时间： | 2004-12-21 |
| 修稿时间： | 2004年12月21 |
Support Vector Machines-Based Method for Machining Error Prediction Modeling |
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| JIANG Liang,LIU Jian,PAN Shuang-xia.Support Vector Machines-Based Method for Machining Error Prediction Modeling[J].Modular Machine Tool & Automatic Manufacturing Technique,2005(8):13-15. |
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| Authors: | JIANG Liang LIU Jian PAN Shuang-xia |
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| Abstract: | Error compensation is an effective approach to enhance machining precision, and error modeling is the key factor for the compensation. Firstly, the present machining error prediction technologies and their disadvantages were analyzed and compared. Then support vector machines(SVM)-based method of machining error modeling and prediction was put forward. Also some problems in real application of the method were analyzed and summarized. Finally, a real application example and comparison with other modeling methods was given, which indicates that the proposed method has an excellent prediction performance and is a new feasible approach for machining error prediction. |
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| Keywords: | support vector machines error modeling error prediction parameter selection |
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