Dumesnil, Etienne, Nabki, Frederic et 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 : 8.
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Résumé
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 %.
| Type de document: | Compte rendu de conférence |
|---|---|
| Professeur: | Professeur Nabki, Frédéric |
| Affiliation: | Autres |
| Date de dépôt: | 13 juill. 2016 18:05 |
| Dernière modification: | 15 déc. 2016 21:52 |
| URI: | https://espace2.etsmtl.ca/id/eprint/13216 |
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