Design and validation of an artificial neural network based on analog circuits
Author:
Publisher
Springer Science and Business Media LLC
Subject
Surfaces, Coatings and Films,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s10470-020-01713-x.pdf
Reference26 articles.
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2. Aksin, D. Y., Basyurt, P. B., & Uyanik, H. U. (2009). Single-ended input four-quadrant multiplier for analog neural networks. In 2009 European conference on circuit theory and design (pp. 307–310). https://doi.org/10.1109/ECCTD.2009.5274983.
3. Bai, Y., Fan, D., & Lin, M. (2018). Stochastic-based synapse and soft-limiting neuron with spintronic devices for low power and robust artificial neural networks. IEEE Transactions on Multi-Scale Computing Systems, 4(3), 463–476. https://doi.org/10.1109/TMSCS.2017.2787109.
4. Bayraktaroglu, I., Ogrenci, A. S., Dundar, G., Balkir, S., & Alpaydin, E. (1997). An analog neural network synthesis system. In Proceedings of international conference on neural networks (pp. 910–915).
5. Chen, Z., Zheng, Y., Choong, F. C., & Je, M. (2012). A low-power variable-gain amplifier with improved linearity: Analysis and design. IEEE Transactions on Circuits and Systems I: Regular Papers, 59(10), 2176–2185. https://doi.org/10.1109/TCSI.2012.2185331.
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