LI Hong, XU Hui, AN Wei, SUN Zhongkang. STUDY OF INFORMATION FUSION METHOD BASED ON THE COMBINATION OF ANN AND EVIDENCE THEORY TO RECOGNIZE POINT TARGETS[J]. INFORMATION AND CONTROL, 1997, 26(2): 151-155.
Citation:
LI Hong, XU Hui, AN Wei, SUN Zhongkang. STUDY OF INFORMATION FUSION METHOD BASED ON THE COMBINATION OF ANN AND EVIDENCE THEORY TO RECOGNIZE POINT TARGETS[J]. INFORMATION AND CONTROL, 1997, 26(2): 151-155.
LI Hong, XU Hui, AN Wei, SUN Zhongkang. STUDY OF INFORMATION FUSION METHOD BASED ON THE COMBINATION OF ANN AND EVIDENCE THEORY TO RECOGNIZE POINT TARGETS[J]. INFORMATION AND CONTROL, 1997, 26(2): 151-155.
Citation:
LI Hong, XU Hui, AN Wei, SUN Zhongkang. STUDY OF INFORMATION FUSION METHOD BASED ON THE COMBINATION OF ANN AND EVIDENCE THEORY TO RECOGNIZE POINT TARGETS[J]. INFORMATION AND CONTROL, 1997, 26(2): 151-155.
STUDY OF INFORMATION FUSION METHOD BASED ON THE COMBINATION OF ANN AND EVIDENCE THEORY TO RECOGNIZE POINT TARGETS
A method based on the combination of artificial neural networks (ANN) and evidence theory to recognize spatial point targets is brought forward in the paper. The structure of the method is introduced, while the performance of the method is analyzed. The good characteristics for the method to defying disturbance and its robustness are tested and verified by experiments.
DownLoad: