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| Format: | Artículo científico |
| Langue: | en |
| Publié: |
Universidad Nacional Autónoma de México
2011
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| Accès en ligne: | https://www.redalyc.org/articulo.oa?id=47419311004 |
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Table des matières:
- Noise Effect Reduction on a MEMS Based AC Voltage Reference Source Using Artificial Neural Network Samane Sadat Hashemipour Amir Abolfazl Suratgar Hamid Hoseini Ingeniería MEMS Neural Network AC voltage reference source noise effect reduction This paper presents a new method in order to reduce noise effect in an 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. The neural network (NN) uses the Levenberg-Marquardt (LM) method for training. The noise effect on an electronic circuit is investigated. The simulation results are very promising. 2011 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47419311004 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.1 Vol.9