Title :
Online modeling for rotational speed of helicopter rotor based on Support Vector Machine
Author :
Wang, Shuzhou ; San, Ye ; Wang, Shuwen
Author_Institution :
Control & Simulation Centre, Harbin Inst. of Technol., Harbin, China
Abstract :
Support vector machine is a new method developed recently. It has shown good performance in many field and mostly outperformed neural networks. So SVM is introduced to the field of intelligent modeling of helicopter, and an online modeling method for helicopter based on SVM is proposed. It is shown by simulation that the online SVM modeling method leads to a significant speed up in the training process, whilst maintain the generalization precision.
Keywords :
aerospace computing; helicopters; support vector machines; SVM; helicopter rotor rotational speed; intelligent modeling; online modeling method; support vector machine; Aerodynamics; Aerospace simulation; Helicopters; Intelligent systems; Kernel; Knowledge engineering; Machine intelligence; Neural networks; Rotors; Support vector machines;
Conference_Titel :
Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-2196-1
Electronic_ISBN :
978-1-4244-2197-8
DOI :
10.1109/ISKE.2008.4731073
