基于人工神经网络的mems交流基准电压源噪声抑制

2009 2nd IEEE International Conference on Computer Science and Information Technology Pub Date : 2009-09-11 DOI:10.1109/ICCSIT.2009.5234415

A. Suratgar, S. S. Hashemipoor, H. Hoseini

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引用次数: 4

摘要

本文提出了一种降低交流基准电压源噪声影响的方法。交流基准电压源采用MEMS技术实现。它采用电容式MEMS技术。参考是基于MEMS元件的交流特性电流-电压曲线。采用多层神经网络。在这个模拟中，我们假设MEMS元件是稳定的。我们研究了噪声对电子电路的影响。仿真结果很有希望。

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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Noise effect reduction on a MEMS-based AC voltage reference source using Artificial Neural Network

This paper proposed a method in order to noise effect reduction in a AC voltage reference source. The AC voltage reference source is implemented on MEMS technology. It uses capacitive MEMS technology. The reference is based on the characteristic AC current-voltage curve MEMS component. The multilayer neural network is used. In this simulation, we have assumed the MEMS component is stable. We have investigated noise effect on electronic circuit. The simulation results are very promising.

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2009 2nd IEEE International Conference on Computer Science and Information Technology

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