DocumentCode :
2206146
Title :
Study of objective intelligent recognition based on ANN+DS evidence theory
Author :
Qu Dong-Cai ; Zhou, Sheng-Ming ; Shi, Xian-Jun ; Tang, Da-Quan
Author_Institution :
Dept. of Autom. Control, Naval Aeronaut. Eng. Inst., Shandong, China
fYear :
2004
fDate :
21-25 June 2004
Firstpage :
283
Lastpage :
286
Abstract :
The methods of the objector intelligent recognition based on artificial neural networks (ANN) + Dempster-Shafter (D-S) evidence combination theory has been studied in this article. The intelligent recognition tactics has been set forth, and the method and procedure of multisensor data fusion intelligent recognition on account of calculating case has been presented; Because D-S evidence combination theory is another important uncertainty inducing method different from information processing by neural network, it is applied widely in intelligent information processing, and highly practical in engineering. On concisely introducing the Dempster-Shafer evidence combination theory frame, last put forward some questions to be inquired.
Keywords :
neural nets; object recognition; sensor fusion; uncertainty handling; Dempster-Shafter evidence combination theory; artificial neural network; intelligent information processing; multisensor data fusion intelligent recognition; objective intelligent recognition; Aerospace engineering; Artificial intelligence; Artificial neural networks; Information processing; Intelligent networks; Neural networks; Parallel processing; Pattern recognition; Space technology; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Acquisition, 2004. Proceedings. International Conference on
Print_ISBN :
0-7803-8629-9
Type :
conf
DOI :
10.1109/ICIA.2004.1373370
Filename :
1373370
Link To Document :
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