AN ALGORITHM OF CHARACTERISTIC DATA FUSION BASED ON NEURAL NETWORK GROUP

摘要：

There are two kinds of methods to characteristic-degree targets recognition of multi-sensor system, as follows: one is the method based on statistic algorithm; the other one is based on neural network. The primary fault of the former is depending on many assumptions during the process of targets recognition, the latter one cannot deal with the identified problem to the complex multi-sensor system. This paper develops an algorithm, which has both the identified ability of neural network and the advantages of multi-sensor system, i.e.neural network group. This algorithm can both solve the problem of identified targets with great noise and improve the velocity of network. The simulation shows the effectiveness of the algorithm.

关键词： Neural network group multi-sensor data fusion

作者: CHI-PING ZHANG PING-YUAN CUI YING-JUN ZHANG

作者单位: Dept.of Mathematics, Harbin Institute of Technology, Harbin 150001, China College of Astronautics, Harbin Institute of Technology, Harbin 150001, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 2917-2919

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）