The Identification Research of Airplane Target Based on BP Neural Network

摘要：

The airplane goals automatic identification is a research hot spot which realizing the target automatic recognition of the remote sensing image. The BP neural network is a multi-layered network which using the non-linear differentiablc function to carry on the weight training. It has contained the most essence part in the neural network theory; the BP neural network has obtained the widespread application in the domains of function approach, pattern Identification, information class and data compression because of its simple structure. Identified and researched the type of airplane based on the artificial neural networks method using the MATLAB software. The result indicated: the accuracy of airplane target recognition may achieve 72.1％ based on the BP neural network and it can meet the needs.

关键词： BP Neural Network Airplane target Pattern Identification Network training

作者: Guang Yang Bai Zhang Xiaojuan Wang Jianfeng Zhang Zhenyu Pang Hang Li Xianghua Yang

作者单位: Special Profession Department, Aviation University of Air Force.Changchun, JiLin, CHINA 130022 North Northeast Institute of Geography and Agricultural Ecology Chinese Academy of Sciences (CAS) ,Changch Aviation University of Air Force, Changchun, JiLin, CHINA 130022 Aviation University of Air Force, Changchun, JiLin,CHINA 130022 Foshan Polytechnic College,Foshan, GuangDong, CHINA 528237

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 727-729

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）