RESEARCH ON THE NEURAL NETWORK ALGORITHM FOR THE DECISION FUSION OF TARGET RECOGNITION
目标识别决策层融合神经网络算法研究

In the light of the target recognition based on MMW/IR fusion, a new neural network algorithm for the decision fusion is presented in this paper. The architecture of this network is novel. It is the thresholds, not the conjunction weights, that are modified, when the network is being trained. The mean correct recognition rate after fusion is higher than that of MMW and IR subsources by 9.7% and 11.3% respectively, which indicates this algorithm is effective and feasible.