利用神经网络快速提取MEMS传输线的L和C参数

2013 IEEE Applied Electromagnetics Conference (AEMC) Pub Date : 2013-12-01 DOI:10.1109/AEMC.2013.7045082

P. K. Patnaik, D. C. Panda

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引用次数: 0

摘要

目前，采用电磁优化技术求解分布式MEMS传输线的“等效电感L”和“等效电容C”值。本文提出了一种利用神经网络(NN)提取DMTL的L和C值的有效方法。该方法占用的计算资源较少。将神经网络模型提取的LC值与电磁仿真结果进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Fast extraction of L & C parameters of MEMS Transmission Line using Neural Network

Presently “equivalent Inductance L” and “equivalent Capacitance C” values of Distributed MEMS Transmission Line (DMTL) are found using EM optimization technique. In this paper, we propose an efficient approach using Neural Network (NN) for extraction of L and C values of DMTL. This method takes less computational resource. The LC values extracted from the neural network model are compared with EM simulation results.

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2013 IEEE Applied Electromagnetics Conference (AEMC)

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