Unsteady Aerodynamics Modeling Using SVM and Artificial Neural Network

摘要：

　　Recently,more and more attention has been drawn by the aircrafts maneuvering problem.This problem is very significant for improving performance of the nonlinear and unsteady modeling methods used for aircrafts at high angles of attack.In this paper,support vector machine(SVM)and artificial neural network are introduced into unsteady aerodynamics modeling.The experimental results show that the generality and precision have been significantly improved using these two methods,which verifies that machine learning methods can be applied to unsteady aerodynamic modeling.

关键词： Unsteady aerodynamics Machine learning method System modeling

作者: Yichao Jiang Qingjie Zhao Jihong Zhu

作者单位: Beijing Lab of Intelligent Information Technology,School of Computer Science,Beijing Institute of Te Department of Computer Science and Technology,Tsinghua University,Beijing 100084,Peoples Republic o

会议类型: 国际会议

会议名称: The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

会议地点: 福州

会议语种:英文

页码: 577-585

在线出版日期: 2015-05-08（万方平台首次上网日期，不代表论文的发表时间）