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Microwave circuit models using the structured genetic algorithm

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4 Author(s)
K. Deh ; Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA ; S. Prasad ; P. Colantonio ; G. Rocco

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.

Published in:

TELSIKS 2005 - 2005 uth International Conference on Telecommunication in ModernSatellite, Cable and Broadcasting Services  (Volume:2 )

Date of Conference:

28-30 Sept. 2005