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機(jī)電工程學(xué)院訪學(xué)教師學(xué)術(shù)報(bào)告(一)基于Kriging模型的電磁場(chǎng)逆問題研究

來(lái)源: 機(jī)電工程學(xué)院 作者:李明利 添加日期:2018-01-02 08:18:59 閱讀次數(shù):

       報(bào)告題目:基于Kriging模型的電磁場(chǎng)逆問題研究
  主講人:安斯光
  時(shí)間:2018年1月4日下午13:30
  地點(diǎn):仰儀南樓207-2
  主講人介紹: Siguang An(安斯光) is an associate professor in Electrical Engineer department of China Jiliang University located in Hangzhou. Much of her research is focused on the scalar and vector algorithms applied in Inverse problems. Siguang An has published refereed research papers on Transactions on Magnetics and other academic journals such as improved cross entropy method and normal boundary intersection method. Now she is a principle investigator of a project supported by National Nature Science Foundation of China. 講座內(nèi)容簡(jiǎn)介: The research of electromagnetic inverse problems analysis is of great significance and industrial importance in the study of modern computational electromagnetism and optimization designs of electromagnetic devices. Electromagnetic forward problem and optimization algorithms are the two basis of the electromagnetic inverse problem. It is an important field of electromagnetic analysis to research on the modeling method and the solution accuracy of the forward problem and taking the preference of the decision maker into account in the inverse problem. This report will introduce the mathematical modeling of Kriging surrogate model to predict the results of forward problem, and a light beam search method in the vector optimization algorithms to realize the segment searching based on the preference of the decision maker.
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機(jī)電工程學(xué)院
2018年1月2日

 

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