An Algorithm of Characteristic Data Fusion Based on Neural Network Group

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