基于RBF神经网络的电阻层析成像算法的研究

Research of the Image Reconstruction Algorithm for Electrical Resistance To- mography(ERT) Based on RBF Neural Network

本文提出了一种基于 RBF神经网络的 ERT图像重建算法 ,并用作者开发的 ERT仿真软件得到的数据进行图像重建 ,与其它传统的成像算法作了对比。研究表明 ,RBF神经网络适合解决 ERT图像重建的非线性问题 ,该算法具有速度快。

This paper put forword a new image reconstruct alorithm for ERT based on RBF neural network,and has reconstructed images used the measurement data obtained from the ERT simulation software developed by the authors,it has been compared with other traditional image reconstruct algorithms.The result shows that RBF neural network is suitable for solving the nonlinear problem of ERT image reconstruction,this algorithm has advantages of high speed and high precision.