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本文分析了两相流电容层析技术中目前存在的问题 ,研究了基于两组多层神经网络的成像方法 ,提出了成像的网络模型及其实现步骤。给出了系统误差E和图象仿真结果。结果表明该方法能够快速和较精确地重建出两相流体的断层图象
This paper analyzes the existing problems in two-phase flow capacitance tomography, studies the imaging method based on two sets of multi-layer neural networks, and proposes the imaging network model and its implementation steps. The system error E and image simulation results are given. The results show that this method can reconstruct the tomographic image of two-phase fluid quickly and accurately