基于多层神经网络的电容层析成像研究

Application Research on the Electrical Capacitance Tomography Using Multi-layer Neural Metwork

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。

This paper discusses the problem of two phase flow electrical capacitance tomography .A neural network method for electrical capacitance tomography is proposed ,and two multi-layer neural network model for image reconstruction and its realization are studied.Experimental results illustrate that the method is effective and accurate for image reconstruction.