Research on aircraft object recognition model based on neural networks

摘要：

There is much difficulty in aircraft object recognition model validation. But lots of nonlinear feature matching requirements can be met by neural network. A hierarchical order of the neural network model validation method is carried out, the actual system behavior will be classified as one of model after trained and the model credibility also will be assessed, the experiment result shows that this method is feasible.

关键词： neural network aircraft object recognition model validation

作者: Wu Henan Li Dejun Wang Hongwei Liu Ying Sun Xiaorui

作者单位: Aviation Information Department, Aviation University of Air Force Changchun, Jilin, China, 130022

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 160-163

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）