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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jinlong An Qingxin Yang Zhenping Ma Likun Hou Jianwei Li Tanggong Chen |
| Copyright Year | 2008 |
| Description | Author affiliation: Province-Minist. Joint Key Lab. Of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin (Jinlong An; Qingxin Yang; Zhenping Ma; Likun Hou; Jianwei Li; Tanggong Chen) |
| Abstract | The problems of the lower convergence speeds and the long time for solving that exist in the global optimization algorithm of the inverse electromagnetic problem solution are given. The main reasons for these problems are analyzed. A global optimization algorithm based on support vector machines of the inverse electromagnetic problem solution is presented. The numerical comparison shows that comparing with the adaptive simulated annealing algorithm, the time of solving forward electromagnetic problem is decreased greatly, so the speed of solving the inverse electromagnetic problem is improved noticeably. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 209402 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781889335384 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-09-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | TSI ENTERPRISES, INC. |
| Subject Keyword | Support vector machines Inverse problems Electromagnetic fields Stochastic processes Iterative algorithms Automatic control Optimization methods Simulated annealing Design optimization Algorithm design and analysis |
| Content Type | Text |
| Resource Type | Article |
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