Title :
Target identification based on the improved D-S evidence theory
Author :
Yulan, Hu ; Xiaojing, Fan
Author_Institution :
Sch. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang
Abstract :
This paper presents a method of multisensor data fusion based on neuron network and reasoning (Dempster-Shafer evidence reasoning). The method can use D-Spsilas 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 shows the method is effici and correct.
Keywords :
inference mechanisms; neural nets; sensor fusion; uncertainty handling; D-S evidence theory; Dempster-Shafer evidence reasoning; fault tolerant ability; multisensor data fusion; neuron network; target identification; Electronic mail; Fault tolerant systems; Fuzzy neural networks; Fuzzy reasoning; Fuzzy systems; Information science; Neural networks; Neurons; Robustness; System identification; D-S evidence theory; Neural Network; dada fusion; identity estimation;
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
DOI :
10.1109/CHICC.2008.4605037
