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基于认知模拟的多路信息融合系统的研究 被引量:1

Research of Cognition Simulation Based Multi-Information Fusion System
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摘要 本文根据认知科学的理论 ,同时以神经科学、脑科学等学科的最新研究成果为指导 ,利用计算机科学、数学及工程科学的方法 ,提出了一种基于认知模拟的多路信息融合的新方法 .根据该方法开发的多路信息融合系统(MIFS) ,可以较好地模拟人类的感知。 According to the theory of cognition science and the new research results of neurophysiology and brain science,this paper presents a new method of Cognition Simulation Based Multi Information Fusion by the help of the computer science,mathematics and engineering science.The experiments have shown that the developed Cognition Simulation Based Multi Information Fusion System (CSBMIFS) can well simulate the sensation,cognition and thinking of man.
作者 王继成
出处 《电子学报》 EI CAS CSCD 北大核心 2002年第5期738-740,共3页 Acta Electronica Sinica
关键词 认知模拟 多路信息融合系统 认知科学 神经网络 模式识别 cognition science neural network information fusion pattern recognition
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  • 1Kung S Y,Proc IEEE Int Conf Neural Networks,1988年

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  • 1潘泉,张洪才,戴冠中,刘先省.STUDY ON ALGORITHM OF SENSOR MANAGEMENT BASED ON FUNCTIONS OF EFFICIENCY AND WASTE[J].Chinese Journal of Aeronautics,2000,13(1):39-44. 被引量:23
  • 2何友,彭应宁,陆大.多传感器数据融合模型综述[J].清华大学学报(自然科学版),1996,36(9):14-20. 被引量:83
  • 3Mori S. Random sets in data fusion: formalism to new algorithms[C].Proc. Third International Conference on information Fusion, Pads, July 2000.
  • 4Wong STC, Knowlton RC, Hawkins HA. Multimodal image fusion for noninvasive epilepsy surgery planning. IEEE Conputer Graphics and Applications[J]. 1996,16( 1 ) :30 -38.
  • 5Murphy R R. Dempster-S thafer theory for sensor fusion in autonomous mobile robots[J]. IEEE Trans on Robot Aurom, 1998,14(2):197-206.
  • 6Lawrence A, Klein. Sensor and data fusion concepts and applications[M]. SPIE Optical Engineering Press, Washington, 1999.
  • 7David L Hall. An introduction to multisensor fusion[C].International workshop on data fusion in 2002,Beijing,China.
  • 8Rong Li X. Information fusion for estimation and decision[C]. International workshop on data fusion in 2002, Beijing, China.
  • 9Gini F, Lombardini F, Verrazzani L.Decentralised Detection Strategies under Communication Constraints[J]. IEE Proc. F, 1998,145(4):199-208.
  • 10Tonissen S M. Bar-Shalom Y. Maaximum likelihood track-before-detect with fluctuating target amplitude[J]. IEEE Trans. on AES, 1998, 34(3):796-808.

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