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基于BP神经网络的通信信号调制体制识别技术 被引量:3
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作者 李迅 陆农春 +2 位作者 卫强 周建军 梁艳华 《电讯技术》 2006年第1期143-147,共5页
本文研究了基于BP神经网络的通信信号调制体制识别技术。提取了反映信号调制体制差异的特征参数,并从提高收敛速度和正确识别概率出发,构建了最佳的神经网络分类器。实验结果表明,该技术拥有较好的通信信号调制体制识别性能。
关键词 通信信号 调制识别 特征参数 BP神经网络 组合网络结构 大数判决
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Examples of Cable-Bar Modular Structures Based on the Class-Theta Tensegrity Systems
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作者 Zbigniew Bieniek 《Journal of Civil Engineering and Architecture》 2015年第12期1452-1462,共11页
The relationship between forms and forces is one of the main topics of structural morphology. This harmonious coexisting link is very strong for systems in tensegrity state, commonly called "tensegrity systems". It ... The relationship between forms and forces is one of the main topics of structural morphology. This harmonious coexisting link is very strong for systems in tensegrity state, commonly called "tensegrity systems". It is currently apparent that, among the tensegrity systems, there also exist cable-bar cells with a discontinuous network of cables. It is possible to design a separate set of cables inside the cable-bar elementary cell and to establish a self-stress state of equilibrium. In this connection, the author of this paper suggested to assume a new Class-Theta tensegrity systems. Each of the basic tensegrity systems termed Class-Theta possesses an external and internal set of tension components. The shape of Greek capital letter 69 (Theta) reflects two sets of such components (two sets of tendons, cables, etc.). This notation corresponds to Skelton's Class-k tensegrity structure. As shown in this paper, the Class-Theta tensegrity cell can exemplify a geometrically and practically useful form for the lightweight and long-span modular structures, mainly but not only in view of civil engineering and architecture. 展开更多
关键词 Cable-bar geometry grid module prism TETRAHEDRON tensegrity.
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Structural Damage Assessment by an Embedded Fiberoptic Sensor Array and Its ANN Signal Processor
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作者 ZHAO Tingchao HUANG Shanglian CHEN Weimin(Chongqing University, Chongqing 630044, CHN ) 《Semiconductor Photonics and Technology》 CAS 1996年第3期214-218,共5页
A novel type of two-dimensional damage assessment system for real time monitoring the structural health of composite structure is described. The configuration of the embedded fiberoptic sensor array and the model of t... A novel type of two-dimensional damage assessment system for real time monitoring the structural health of composite structure is described. The configuration of the embedded fiberoptic sensor array and the model of the artificial neural network (ANN) are discussed. The experimental system and results show that the system can monitor a damage of structures with potential application in areas such as space aeronautics, civil engineering, etc. 展开更多
关键词 Damage Assessment Fiber Optic Sensors Neural Networks
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