@inproceedings{eaf73932b7dd47d0a8c2683b4f6ced31,
title = "A global optimization algorithm based on support vector machines for electromagnetic inverse problem",
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.",
author = "Jinlong An and Qingxin Yang and Zhenping Ma and Likun Hou and Jianwei Li and Tanggong Chen",
year = "2008",
language = "英语",
isbn = "9781889335384",
series = "2008 World Automation Congress, WAC 2008",
booktitle = "2008 World Automation Congress, WAC 2008",
note = "2008 World Automation Congress, WAC 2008 ; Conference date: 28-09-2008 Through 02-10-2008",
}