| 带有偏差单元的IRN在两相流ECT中的应用 |
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| 引用本文： | 王小建,杨鼎才.带有偏差单元的IRN在两相流ECT中的应用[J].计算机仿真,2005,22(4):90-93. |
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| 作者姓名： | 王小建 杨鼎才 |
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| 作者单位： | 燕山大学信息工程学院,河北,秦皇岛,066004;燕山大学信息工程学院,河北,秦皇岛,066004 |
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| 摘 要： | 该文提出了基于带有偏差单元递归神经网络算法在电容层析成像系统的图像重建中的应用。该算法克服了电容层析成像系统中电容测量灵敏度分布易受被测多相流介质分布的影响，利用MATLAB编程对带有偏差单元的递归神经网络进行训练，给出了图像仿真结果。仿真结果表明，该算法在保证了重建图像质量的前提下，缩短训练时间，提高了成像速度，满足了工业实时性的要求。
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| 关 键 词： | 两相流 电容层析成像 图像重建 内部回归神经网络 |
| 文章编号： | 1006-9348(2005)04-0090-03 |
| 修稿时间： | 2003年11月17 |
Application of the IRN with Deviation Element in Two-phase ECT |
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| WANG Xiao-jian,YANG Ding-cai.Application of the IRN with Deviation Element in Two-phase ECT[J].Computer Simulation,2005,22(4):90-93. |
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| Authors: | WANG Xiao-jian YANG Ding-cai |
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| Abstract: | This paper proposes a neural network based on IRN with deviation elem ent algorithm and its application in image reconstruction of ECT. The proposed a lgorithm overcomes sensitivity asymmetry influenced by two-phase flow inhomogene ity in ECT. The computer program of IRN with deviation element is drawn up using Matlab. Some simulation results of image reconstruction are given ,which illust rate that the algorithm is effective for image of two-phase flow to be reconstr ucted with accuracy, at a higher speed and can meet the industrial real -time requirement. |
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| Keywords: | Two-phase flow Electrical capacitance tomography(EC T) Image construction Internal recurrent net(IRN) |
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