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《Journal of Beijing Institute of Technology》 2003-04
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New Developments in Data Fusion Technology Based on Neural Network

NI Guoqiang,LI Yongliang,NIU Lihong (Department of Optical Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China)  
In order to achieve adaptivity, parallelism and highspeed, neural network has been applied and developed rapidly in the field of data fusion recently. Many new algorithms based on neural network have been proposed. Some of them proposed after the 1980 s and their applications in the datalevel, featurelevel and decisionlevel fusions are described in some detail. Some modified methods and emulation results to these algorithms are also proposed. The development of neural network in data pretreatment for data fusion is introduced. Finally, prospects of neural network are described.
【Fund】: 国家部委基金资助项目(031500A003);; 国防重点实验室开放基金(51476020101BQ0101)
【CateGory Index】: TP183
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