| 基于支持向量机的机械传动方案决策模型 |
| |
| 引用本文： | 孙华丽,谢剑英,薛耀锋. 基于支持向量机的机械传动方案决策模型[J]. 上海交通大学学报, 2005, 39(6): 975-978 |
| |
| 作者姓名： | 孙华丽 谢剑英 薛耀锋 |
| |
| 作者单位： | 上海交通大学,自动化系,上海,200030;上海交通大学,自动化系,上海,200030;上海交通大学,自动化系,上海,200030 |
| |
| 摘 要： | 分析了机械传动系统的特点和方案选择的要求，给出了机械传动系统特征因素的模糊量化方法．在此基础上，通过对系统特征因素集和决策方案非线性关系的辨识，建立了基于支持向量机的一对一判别策略的机械传动方案决策模型．仿真实例验证了利用支持向量机建立其决策模型的可行性和实用性．
|
| 关 键 词： | 支持向量机 机械传动系统 特征因素 模糊隶属函数 建模 |
| 文章编号： | 1006-2467(2005)06-0975-04 |
| 修稿时间： | 2004-06-30 |
Mechanical Drive Type Decision Model Based on Support Vector Machine |
| |
| SUN Hua-li,XIE Jian-ying,XUE Yao-feng. Mechanical Drive Type Decision Model Based on Support Vector Machine[J]. Journal of Shanghai Jiaotong University, 2005, 39(6): 975-978 |
| |
| Authors: | SUN Hua-li XIE Jian-ying XUE Yao-feng |
| |
| Abstract: | The characteristics of the mechanical drive system and the rules of the type choice were analyzed. A fuzzy and quantitative method describing the characters of the drive system was presented. A drive type decision system based on one-against-one mode of support vector machine through identification of the characteristics and the type decisions was built. Simulation was given to support the theoretical result. |
| |
| Keywords: | support vector machine (SVM) mechanical drive system characteristic factors fuzzy membership function modeling |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
