目標識別決策層融合神經(jīng)網(wǎng)絡算法研究
RESEARCH ON THE NEURAL NETWORK ALGORITHM FOR THE DECISION FUSION OF TARGET RECOGNITION
-
摘要: 該文針對毫米波／紅外傳感器融合目標識別問題，提出一種新的用于決策層目標識別的神經(jīng)網(wǎng)絡融合算法。該網(wǎng)絡結(jié)構(gòu)新穎，網(wǎng)絡訓練時修改的是門限而不是連接權(quán)值。融合后的識別率可比毫米波和紅外子源提高9.7％到11.3％，因此，該算法是有效可行的。
-
關(guān)鍵詞:
- 神經(jīng)網(wǎng)絡;決策層融合;目標識別
Abstract: 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. -
楊靜宇，鄔永革，等．戰(zhàn)場數(shù)據(jù)融合技術(shù)．北京：兵器工業(yè)出版社，1994，1-11．[2]郁文賢，雍少為，郭桂蓉．信息融合述評．長沙：國防科學技術(shù)大學學報，1994，16(3)：1-11．[3]孫紅巖，毛士藝．多傳感器目標識別的數(shù)據(jù)融合．電子學報，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 -
計量
- 文章訪問數(shù): 2329
- HTML全文瀏覽量: 97
- PDF下載量: 433
- 被引次數(shù): 0
下載:
