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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Nejatali, A. Ciric, I.R. |
| Copyright Year | 1965 |
| Abstract | In the electrical impedance imaging algorithms developed so far, the inverse problems involved are treated by using either iterative methods, which generate more accurate results but require large amounts of computation time, or non-iterative methods that are faster but produce less accurate results. In this paper, a new iterative procedure for electrical impedance imaging is presented. At each iteration step, the updated conductivity distribution is used to solve a forward problem and two-layer backpropagation neural networks with nonlinear activation functions are employed for solving an inverse problem. This allows for a smaller computation time with respect to other iterative methods and, at the same time, yields accurate images. Comparison with results obtained by applying an existing impedance tomography algorithm illustrates the efficiency of the proposed iterative method. |
| Sponsorship | IEEE Magnetics Society |
| Starting Page | 2940 |
| Ending Page | 2943 |
| Page Count | 4 |
| File Size | 519293 |
| File Format | |
| ISSN | 00189464 |
| Volume Number | 34 |
| Issue Number | 5 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-09-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Iterative algorithms Impedance Neural networks Iterative methods Inverse problems Conductivity Tomography Electrodes Backpropagation Geologic measurements |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering |
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