人工神经网络用于电磁逆问题的系统辨识

Proceedings of SOUTHEASTCON '94 Pub Date : 1994-04-10 DOI:10.1109/SECON.1994.324289

A. Arkadan, Y. Chen

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引用次数: 3

摘要

采用基于人工神经网络和有限元分析的方法求解系统辨识逆问题。该方法用于一个测试问题，以确定在一个无法进入的区域内未知源的位置、材料和值。通过对未知参数的实测值和预测值的比较，验证了该方法的有效性。

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Artificial neural network for the inverse electromagnetic problem of system identification

An approach which is based on the use of artificial neural networks and finite element analysis is used to solve the inverse problem of system identification. The approach is used on a test problem to identify location, material and values of unknown sources within an inaccessible region. A comparison of actual and predicted values of the unknown parameters demonstrates the validity of this approach.<>

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Proceedings of SOUTHEASTCON '94

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