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刻纹光纤传感阵列神经网络处理 的可行性研究
引用本文:杨建良,黄德修,郭照华.刻纹光纤传感阵列神经网络处理 的可行性研究[J].传感技术学报,1996,9(4):43-48.
作者姓名:杨建良  黄德修  郭照华
作者单位:[1]华中理工大学光电子工程系 [2]湘潭大学
摘    要:提出了一种新颖、采用周性双面不对称刻纹多模光纤组成的传感阵列,可用于机敏材料与结构的状态探测与损伤估计,探索了采用人工神经网络处理其阵列传感信号的可行性,并给出了BP网与Kohonen网的仿真结果。

关 键 词:光纤传感  机敏材料  结构  神经网络

Feasibility of Neural Network Processing for Etched Optical Fiber Sensor Array
Yang Jianliang Huang Dexiu Guo Zhaohua.Feasibility of Neural Network Processing for Etched Optical Fiber Sensor Array[J].Journal of Transduction Technology,1996,9(4):43-48.
Authors:Yang Jianliang Huang Dexiu Guo Zhaohua
Abstract:A novel fiberoptic sensor array which is made of two-surface asymmetric pe-riodically etched multimode optical fibers is presented. It may be applied to detection ofstructure state such as stress, strain or damage assessment is smart material and struc-tures. The technology of array sensing signal processing in artificial neural network isdescribed. The simulation results of BP network and Kohonen network are also given.
Keywords:fiberoptics sensing smart material and structure artificial neural network
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