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

Abstract

This paper presents a method of multi-sensor data fusion based on neuron network and reasoning (Dempster-Shafer evidence reasoning). The method can use D-S’s Evidence to deal with the inaccuracy and fuzzy information. And also it can give 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 improve 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 showsthe method is effective and correct.