Decision Fusion for Target Recognition Based on Neural Network Model
Atr Lab · Dianzi xuebao · 1997
Compared with normal decision fusion methods,a novel decision fusion algorithmbased on modified ART2(MART)Peural network model is presented in this paper. It has advantages of human brain,and the algorithm uses matching functionand compromising function toremove the correlation of information and to obtain the ability of processing contradictory infromation. Meantime,the MART model can control the output of belief-level by adaptively adjusting theparameters of network.