在线稀疏最小二乘支持向量回归机及其应用

来源 :南京航空航天大学学报 | 被引量 : 0次 | 上传用户：hanson117

【摘要】

：

提出了一种简单有效的方法--OPLS-SVR来实现在线最小二乘支持向量回归机解的稀疏性.由于稀疏性的实现,在线稀疏最小二乘支持向量回归机的响应时间被大大缩短.此外,为了保证给

【作者】

：

赵永平孙健国王

【机构】

：

南京航空航天大学能源与动力学院

【出处】

：

南京航空航天大学学报

【发表日期】

：

2004年期

【关键词】

：

支持向量机传感器最小二乘解析余度航空发动机 support vector machines sensors least squares analytic

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提出了一种简单有效的方法--OPLS-SVR来实现在线最小二乘支持向量回归机解的稀疏性.由于稀疏性的实现,在线稀疏最小二乘支持向量回归机的响应时间被大大缩短.此外,为了保证给航空发动机控制器提供可靠、正确的控制信号,提出了一种基于OPLS-SVR的解析余度技术来解决传感器失效和漂移同题.仿真实验表明了该解析余度技术有效且可行.

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在线稀疏最小二乘支持向量回归机及其应用

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