Title :
Research of artificial neural network intelligent recognition technology assisted by Dempster-Shafer evidence combination theory
Author :
Dongcai, Qu ; Xiangwei, Meng ; Juan, Huang ; You, He
Author_Institution :
Dept. of Autom. Control, Naval Aeronaut. Eng. Inst., Shandong, China
fDate :
31 Aug.-4 Sept. 2004
Abstract :
The D-S evidence combination theory is another important uncertainty inference method different from information processing by neural network, which is applied widely in intelligent information processing, and highly practical in engineering. On concisely introducing the Dempster-Shafer evidence combination theory frame, this article researches into the neural network intelligent recognition technology assisted by Dempster-Shafter evidence combination theory, sets forth the intelligent recognition tactics, presents the method and procedure of multi-sensor data fusion intelligent recognition on account of the calculating case, and puts forward some questions to be inquired.
Keywords :
artificial intelligence; inference mechanisms; neural nets; pattern recognition; sensor fusion; uncertainty handling; Dempster-Shafer evidence combination theory; artificial neural network intelligent recognition technology; intelligent information processing; multisensor data fusion; uncertainty inference method; Artificial intelligence; Artificial neural networks; Information processing; Intelligent networks; Intelligent sensors; Neural networks; Pattern recognition; Sensor fusion; Target recognition; Uncertainty;
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
DOI :
10.1109/ICOSP.2004.1452577