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基于BP网络的同面多电极技术图像重构算法
引用本文:吴云靖,董恩生,庞宇,赵德林.基于BP网络的同面多电极技术图像重构算法[J].大连海事大学学报(自然科学版),2010(4).
作者姓名:吴云靖  董恩生  庞宇  赵德林
作者单位:空军航空大学控制工程系;
摘    要:为实现同面多电极技术对飞机用复合材料损伤区域和大小的识别,采用BP神经网络算法建立采样电容值与检测区域介电常数分布的非线性映射,利用输出灰度值实现损伤区域的图像重构.利用主元分析法对输入电容值进行降维处理.采用自适应调整学习率与动量因子方法加快了BP网络训练的收敛速度.仿真结果表明,该算法重构的损伤区域图像成像速度较快,准确度满足实现同面多电极技术对复合材料损伤区域大小和位置识别的要求.

关 键 词:同面多电极  图像重构  BP网络  主元分析(PCA)  

Image reconstruction algorithm for uniplanar multi-electrode technique based on BP neural networks
WU Yunjing,DONG Ensheng,PANG Yu,ZHAO Delin.Image reconstruction algorithm for uniplanar multi-electrode technique based on BP neural networks[J].Journal of Dalian Maritime University,2010(4).
Authors:WU Yunjing  DONG Ensheng  PANG Yu  ZHAO Delin
Institution:WU Yunjing,DONG Ensheng,PANG Yu,ZHAO Delin(Department of Aviation Control , Engineering,Aviation University of Air Force,Changchun 130022,China)
Abstract:To achieve the recognition of damage field and size of aero plane by using the uniplanar multi-electrode technique,nonlinear mapping of the sampling capacitor and the dielectric constant distribution of detection area was established based on BP neural network algorithm,and the image reconstruction of damage field adopting the output gray value was realized to deduce the input capacitance by using principal component analysis(PCA).Self-adaptation method which adjusted learning rate and momentum factor was a...
Keywords:uniplanar multi-electrode  Image reconstruction  BP networks  principal component analysis(PCA)  
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