| 用于光纤机敏材料与结构损伤估计的人工神经网络 |
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| 引用本文： | 涂亚庆,黄尚廉.用于光纤机敏材料与结构损伤估计的人工神经网络[J].光子学报,1994,23(3):225-232. |
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| 作者姓名： | 涂亚庆 黄尚廉 |
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| 作者单位： | 重庆大学光电精密机械研究究所 |
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| 摘 要： | 本文以光纤机敏材料与结构中的损伤估计为目的,根据光纤阵列传感信号处理的需要,在给出人工神经网络处理原理与结构基础上,结合应用详细地阐述了适用的反向传播神经网络(BP)模型、自组织特征映射神经网络(Kohonen)模型及其变化形式(LVQ1,LVQ2,LVQ3,LVQ4及LVQ5等),同时给出了仿真实验的结果.
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| 关 键 词： | 人工神经网络 反向传播神经网络 自组织特征映射神经网络 光纤阵列传感 机敏材料与结构 |
| 收稿时间： | 1993-05-07 |
THE ARTIFICIAL NEURAL NETWORKS SUITED FOR DAMAGE ASSESSMENT IN FIBEROPTIC SMART MATERIALS AND STRUCTURES |
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| Tu Yaqing, Huang Shanglian Institute of Optronic Precision Machinery,Chongqing University.THE ARTIFICIAL NEURAL NETWORKS SUITED FOR DAMAGE ASSESSMENT IN FIBEROPTIC SMART MATERIALS AND STRUCTURES[J].Acta Photonica Sinica,1994,23(3):225-232. |
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| Authors: | Tu Yaqing Huang Shanglian Institute of Optronic Precision Machinery Chongqing University |
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| Institution: | Tu Yaqing, Huang Shanglian Institute of Optronic Precision Machinery,Chongqing University,630044 |
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| Abstract: | In this paper, the neural network processing principle and structure are given which are requisite for damage assessment and processing of fiberoptic array sensing signals in fiberoptic smart materials and structures Requiring of this application,the models of backpropagation neural network, self-organizing map neural network and its variants(such as LVQ1,LVQ2,LVQ3,LVQ4 and LVQ5 et al)are discribed in detail.At the same time,the simulation results are also given. |
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| Keywords: | rtificial neural network Backpropagation neueal network Self-Organizing map neural network Fiberoptic array sensing Smart materials and structures |
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