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

  • Authors:
  • Yulan Hu;Xiaojing Fan;Huijing Zhao;Bing Hu

  • Affiliations:
  • -;-;-;-

  • Venue:
  • CAR '09 Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics
  • Year:
  • 2009

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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.