This paper describes an application of the structured genetic algorithm to the construction of microwave circuit neural network models. The algorithm is used to create a neural network model of a high electron mobility transistor (HEMT) power amplifier. Results are compared to other neural network training algorithms such as back-propagation and the Levenberg-Marquardt algorithm. Models of one and two-stage amplifiers created with the ADS circuit simulator give good predictions of measurement results. © 2005 IEEE.
Deh, K., Prasad, S., Colantonio, P., Giofre', R. (2005). Microwave circuit models using the structured genetic algorithm. In TELSIKS 2005 - 7th International Conference on Telecommunications in Moderm Satellite, Cable and Broadcasting Services, Proceedings of Papers (pp.367-372) [10.1109/TELSKS.2005.1572129].
Microwave circuit models using the structured genetic algorithm
COLANTONIO, PAOLO;GIOFRE', ROCCO
2005-01-01
Abstract
This paper describes an application of the structured genetic algorithm to the construction of microwave circuit neural network models. The algorithm is used to create a neural network model of a high electron mobility transistor (HEMT) power amplifier. Results are compared to other neural network training algorithms such as back-propagation and the Levenberg-Marquardt algorithm. Models of one and two-stage amplifiers created with the ADS circuit simulator give good predictions of measurement results. © 2005 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
