Title :
Application of an artificial neural network in the SALC explosive detection system
Author :
Shea, P. ; Liu, Frank
Author_Institution :
Sci. Applications Int. Corp., Santa Clara, CA
Abstract :
Summary form only given. The detection of explosives in checked airline luggage by thermal neutron analysis has previously been shown to be improved by the use of an artificial neural network in place of classical decision techniques. These previous studies have focused on the end result (overall detection and false alarm rates); in the work presented, a small portion of the data was examined to show the decision surfaces of the two techniques. The relative misclassifications of the two techniques were compared
Keywords :
aerospace computing; explosions; neural nets; nuclear engineering computing; physics computing; SALC explosive detection system; artificial neural network; checked airline luggage; decision surfaces; relative misclassifications; thermal neutron analysis; Artificial neural networks; Digital systems; Equations; Explosives; Intelligent networks; Neural networks; Neutrons; Optimal scheduling; Parallel algorithms; Scheduling algorithm;
Conference_Titel :
Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0164-1
DOI :
10.1109/IJCNN.1991.155502
