| Neural Network Signal Processing Approach for Damage Assessment in Fiberoptic Smart Material Systems and Sructures^①② |
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| 作者姓名： | TUYaqing HUANGShanglian |
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| 作者单位： | [1]Depart.ofAutomation,LogisticalEngineeringUniversity,Chongqing630042,CHN [2]Depart.ofOptoelectronicInstru,LogisticalEngineeringUniversity,Chongqing630042,CHN |
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| 基金项目： | Supported by the National Naturai Science Foundation of P. R . China and the Natural Science Foundation of the Open Laboratory of National Education Committee about Opto-electronic Technology and System in Chongqing University, P.R. China. |
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| 摘 要： | An approach by using neural network signal processing in associate with embedded fiberoptic sensing array for the newly developed“smart material systems and structures” is discussed in this paper.The principle,structure of this approach and suitable neural network algorithms are described.The results of simulation experiments are also given.
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| 关 键 词： | 光纤感测列 神经网络 信号处理 智能材料 |
| 收稿时间： | 1997/2/28 |
Neural Network Signal Processing Approach for Damage Assessment in Fiberoptic Smart Material Systems and Structures |
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| TUYaqing HUANGShanglian.Neural Network Signal Processing Approach for Damage Assessment in Fiberoptic Smart Material Systems and Structures[J].Semiconductor Photonics and Technology,1997,3(2):115-124. |
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| Abstract: | An approach by using neural network signal processing in associate with embedded fiberoptic sensing array for the newly developed “smart material systems and structures” is discussed in this paper.The principle,structure of this approach and suitable neural network algorithms are described.The results of simulation experiments are also given. |
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| Keywords: | Fiberoptic Sensing Array Neural Network Signal Processing Smart Material Systems and Structures |
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