Research of image reconstruct algorithm based on wavelet neural network for ERT

This paper research three kinds of image reconstruct algorithms for Electrical Resistance Tomography (ERT), and put forward a new image reconstruct algorithm for ERT based on wavelet-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 wavelet-neural network is suitable for solving the nonlinear problem of ERT image reconstruction, the error of the image by wavelet neural network algorithm is within 5%, this algorithm has advantages of high speed and high precision.