Dumesnil, Etienne, Nabki, Frederic and Boukadoum, Mounir.
2015.
« RF-LNA circuit synthesis by genetic algorithm-specified artificial neural network ».
In 2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS) (Marseille, France, Dec. 7-10, 2014)
pp. 758-761.
Institute of Electrical and Electronics Engineers Inc..
Compte des citations dans Scopus : 7.
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Nabki F. 2015 13216 RF-LNA circuit synthesis by genetic.pdf - Accepted Version Use licence: All rights reserved to copyright holder. Download (696kB) | Preview |
Abstract
A genetic algorithm (GA) was used to determine the optimal architecture and input parameters of a feed-forward artificial neural network (ANN), the purpose of which was to synthesize a radio-frequency, low noise amplifier (RF-LNA) circuit. The parameters (chromosomes) processed by the GA included: i) the LNA performance specifications and design constraints; ii) the type of ANN to use multi-layer perceptron (MLP) or radial-basis function (RBF) network; iii) the ANN parameters to set. For two different sets of design parameters, the input/output matching network components and transistor geometries, the GA found ANN solutions capable of predicting their values with success rates above 99 %.
| Item Type: | Conference proceeding |
|---|---|
| Professor: | Professor Nabki, Frédéric |
| Affiliation: | Autres |
| Date Deposited: | 13 Jul 2016 18:05 |
| Last Modified: | 15 Dec 2016 21:52 |
| URI: | https://espace2.etsmtl.ca/id/eprint/13216 |
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