• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Industrial Informatics, IEEE Transactions on >A Novel LS-SVM Modeling Method for a Hydraulic Press Forging Process With Multiple Localized Solutions
【24h】

A Novel LS-SVM Modeling Method for a Hydraulic Press Forging Process With Multiple Localized Solutions

机译：具有多个局部解的液压机锻造过程的LS-SVM建模新方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

An effective model of the forging process is crucial for the optimal operation and health management of a hydraulic press machine (HPM). Modeling this forging process is difficult, because multiple localized nonlinear solutions and modeling of unknown complex interactions between localized regions are required. In this paper, a novel least squares support vector machine (LS-SVM) method is developed for modeling the forging process. The proposed method integrates the advantages of local LS-SVM modeling and global regularization. Local LS-SVM modeling is performed to capture the local dynamics for each local working region. Global regularization is performed to minimize the global error and improve the global generalization of the local models. These features guarantee continuity and smoothness between the local LS-SVM models and avoid over-fitting of each local LS-SVM model. The algorithm developed here is simple and may easily be added into existing HPM systems. Experiment data from a practical HPM demonstrate the effectiveness of the proposed method.
机译：有效的锻造过程模型对于液压机（HPM）的最佳运行和健康管理至关重要。由于需要多个局部非线性解决方案以及局部区域之间未知的复杂相互作用的建模，因此很难对此锻造过程进行建模。本文提出了一种新颖的最小二乘支持向量机（LS-SVM）方法来对锻造过程进行建模。该方法融合了局部LS-SVM建模和全局正则化的优点。执行本地LS-SVM建模以捕获每个本地工作区域的本地动态。执行全局正则化以最小化全局误差并改善局部模型的全局泛化。这些功能保证了本地LS-SVM模型之间的连续性和平滑性，并避免了每个本地LS-SVM模型的过度拟合。这里开发的算法很简单，可以轻松地添加到现有的HPM系统中。来自实际HPM的实验数据证明了该方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号