DocumentCode
2964280
Title
Microwave circuit models using the structured genetic algorithm
Author
Deh, Kofi ; Prasad, Sheila ; Colantonio, Paolo ; Rocco, Gioffre
Author_Institution
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
Volume
2
fYear
2005
fDate
28-30 Sept. 2005
Firstpage
367
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.
Keywords
genetic algorithms; microwave field effect transistors; microwave power amplifiers; neural nets; power HEMT; HEMT power amplifier; high electron mobility transistor power amplifier; microwave circuit models; neural network models; structured genetic algorithm; Genetic algorithms; Microwave circuits;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications in Modern Satellite, Cable and Broadcasting Services, 2005. 7th International Conference on
Print_ISBN
0-7803-9164-0
Type
conf
DOI
10.1109/TELSKS.2005.1572129
Filename
1572129
Link To Document