Target Identification Based on Neural Network and D-S Evidence Theory

This paper presents a method of multisensor data fusion based on neuron network and reasoning (Dempster-Shafer evidence reasoning).The method can use deal with the inaccuracy and fuzzy information by D-S Evidence. And also it can give a full play to self-study of neural net, self-adapting and fault tolerant ability. In this way it has doughty robustness to uncertain information and improves the system identification rate. Then the D-S evidence is used to fuse the results derived from the neural network at different time. The result of computer simulation shows the method is effective and correct.