ELECTROMAGETIC TOMOGRAPHY (EMT):IMAGE RECONSTRUCTION AND BP NETWORKS
Xiong Zhe Han · 2000
The paper presents a BP neural network approach applied to image rconstruction of electromagnetic tomography (EMT).The input of the network was measurements of the EMT sensor,which were obtained by solving the forward electroomagnetic problem of the sensor by finite element simulation.State values (0 1) of all the elements in the object space were taken as the output of the network.The network was trained with the error back propagation algorithm improved by such means as the conjugate gradient optimization method.The initial results of image reconstruction for simple and easy two component flows show that the model feasible is in principle,which gives a basis to further analysis and research.