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Volume 22 Issue 4
Jul.  2000
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Li Xiang, Fu Yaowen, Zhuang Zhaowen, Guo Guirong. RESEARCH ON THE NEURAL NETWORK ALGORITHM FOR THE DECISION FUSION OF TARGET RECOGNITION[J]. Journal of Electronics & Information Technology, 2000, 22(4): 692-696.
Citation: Li Xiang, Fu Yaowen, Zhuang Zhaowen, Guo Guirong. RESEARCH ON THE NEURAL NETWORK ALGORITHM FOR THE DECISION FUSION OF TARGET RECOGNITION[J]. Journal of Electronics & Information Technology, 2000, 22(4): 692-696.

RESEARCH ON THE NEURAL NETWORK ALGORITHM FOR THE DECISION FUSION OF TARGET RECOGNITION

  • Received Date: 1999-03-08
  • Rev Recd Date: 1999-10-02
  • Publish Date: 2000-07-19
  • 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.
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  • 杨静宇,邬永革,等.战场数据融合技术.北京:兵器工业出版社,1994,1-11.[2]郁文贤,雍少为,郭桂蓉.信息融合述评.长沙:国防科学技术大学学报,1994,16(3):1-11.[3]孙红岩,毛士艺.多传感器目标识别的数据融合.电子学报,1995,23(10):188-193.[4]Pawlak J.A new neural network architecture for the fusion of independent or dependent sensor decisions[J].SPIE.1994,2232:6-16
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