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美军网络中心战对国防工业的影响
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作者 彼得·东布罗夫斯基 刘延军 《外国军事学术》 2003年第3期70-72,共3页
美国防部2003财年《国防报告》已经提出全面推进网络中心战建设,以此作为进行军事转型的主要途径,那么这对美国国防工业将产生什么样的影响?国防工业应该如何紧紧围绕网络中心战能力建设进行技术装备创新以便为美军军事转型服务?本... 美国防部2003财年《国防报告》已经提出全面推进网络中心战建设,以此作为进行军事转型的主要途径,那么这对美国国防工业将产生什么样的影响?国防工业应该如何紧紧围绕网络中心战能力建设进行技术装备创新以便为美军军事转型服务?本文具体探讨了造船,无人驾驶航行器和信息技术与系统融合。对此作了很有见地的回答。 展开更多
关键词 美国 网络中心战 国防工业 造船业 无人驾驶航行器 "信息技术/系统融合"
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Study on gas monitoring technology based on information fusion 被引量:3
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作者 HOU You-fu MENG Qing-rui +1 位作者 TONG Min-ming LIANG Tao 《Journal of Coal Science & Engineering(China)》 2010年第1期57-63,共7页
In view of the deficiency of current gas monitoring systems in coal mine roadwayexcavation, a two-level information fusion technology, which adopted the adaptiveweighted algorithm and the BP neural network technology,... In view of the deficiency of current gas monitoring systems in coal mine roadwayexcavation, a two-level information fusion technology, which adopted the adaptiveweighted algorithm and the BP neural network technology, was applied to gas monitoring.The results show that the adaptive weighted algorithm can realize self-regulation by decreasingthe weight value of the failed sensor automatically, so as to eliminate the effect ofthe failed sensor and ensure the effectiveness and accuracy of the gas monitoring system.The BP neural network can not only effectively predict the gas gush quantity of the excavationroadway, but also accurately calculate the gas concentration in the region whereone or more sensors have failed, so as to provide the basis for judging the safety status ofthe roadway excavation.The experiments prove the superiority and feasibility of the applicationof information fusion in gas monitoring. 展开更多
关键词 information fusion gas monitoring adaptive weighted algorithm BP neura network
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