摘要： 提出了一种基于神经网络的非线性迭代方法去求解中的反问题。这种方法避免了求解病态条件方程,而且重建图象的精度、分EIT辨率优于其它方法。计算机模拟实验结果表明这种重建算法能快速收敛。

关键词: 电阻抗成象, 图象重建, 反问题, 神经网络

Abstract: A new non-linear iterative method based on neural network is provided in this paper to solve the inverse problem in EIT. The new method avoids solving ill-conditioned equations. Furthermore, the resolution and the accuracy of the reconstructed images based on the new method are much more higher than other methods. The computer simulation results demonstrate that the new reconstruction algorithm can be converged quickly.

中图分类号: 

• TP391.41