A New Image Reconstruction Algorithm for Electrical Capacitance Tomography

In view of low precision of the reconstructed image of Electrical Capacitance Tomography (ECT) at present, a new image reconstruction method based on RBF neural network for Electrical Capacitance Tomography is proposed. Adaptive genetic algorithm is used to optimize the centers and widths of hidden layer of RBF network and Tikhonov regularization method is used to train the weights of RBF network. The simulation results for 12-electrode electrical capacitance tomography system illustrate that this method can improve the quality of reconstruction image obviously, testify the effectiveness of the proposed method