A Modeling Method Based on Multiple Kernel Learning

被引：0

作者：

Wang, Shuzhou ^{[1
]}

Li, Lianhe ^{[1
]}

Chen, Yimei ^{[1
]}

机构：

[1] Tianjin Polytech Univ, TianjinKeyLABofAEEET, Sch Elect Engn & Automat, Tianjin 300387, Peoples R China

来源：

PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2012年

关键词：

Multiple Kernel Learning; Support Vector Machine; Helicopter; Simulation Model;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Support Vector Machine (SVM) can be applied to build simulation model of helicopter. But the parameter selection should to be done before training SVM. To avoid the problems, a dynamic modeling method for helicopter based on Multiple Kernel Learning (MKL) is proposed. It is shown by simulation that the dynamic MKL modeling method owns some advantages such as fast convergence speed, simple structure, whilst maintain the generalization precision.

引用

页码：2376 / 2378

页数：3

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