Title :
An adaptive neural PDA approach based on an united Hopfield-BP network
Author_Institution :
Beijing Univ. of Aeronaut. & Astronaut., China
fDate :
27 Jun- 2 Jul 1994
Abstract :
An adaptive neural probabilistic data association (A.NPDA) approach, which is a modification of the NPDA approach proposed previously, is put forward in this paper. All the features of the joint PDA (JPDA) are included in a united Hopfield neural network. The A.NPDA has an important feature of adaptive adjustment to the variation of return density and target number. The simulation results prove the parallel algorithm is a simplified but perfect imitation of the JPDA
Keywords :
Hopfield neural nets; probability; adaptive neural probabilistic data association; backpropagation; joint probabilistic data association; return density; target number; united Hopfield neural network; Concurrent computing; Constraint optimization; Hopfield neural networks; Information filtering; Information filters; Neurons; Parallel algorithms; Personal digital assistants; Target tracking; Voltage;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374846
