DocumentCode
2298346
Title
Neural models for the active microwave devices
Author
Karlik, Bekir
Author_Institution
Dept. of Comput. Eng., Bahrain Univ., Bahrain
fYear
2003
fDate
19-20 Sept. 2003
Firstpage
281
Lastpage
286
Abstract
Artificial neural networks are emerging as a powerful technology for RF and microwave characterization, modeling, and design. Neuron modeler is the first software in the industry that embraces this technology with complete RF and microwave orientation. It helps you to immediately start developing neural models for RF/microwave components and circuits and helps to provide neural models for your simulators. The device is modeled by a black box whose small signal and noise parameters are evaluated through a neural network, based upon the fitting of both of these parameters for the multiple bias or configuration. In this study, two types of neural network were compared for the existing device modeling technique. The concurrent modeling procedure does not require solving device physics equations repeatedly during optimization.
Keywords
microwave devices; noise measurement; optical noise; optical parametric devices; RF characterization; RF component; active microwave devices; artificial neural networks; concurrent modeling procedure; microwave characterization; microwave component; multiple bias; neural models; neuron modeler; noise parameter; physics equation; powerful technology; Artificial neural networks; Circuit noise; Circuit simulation; Computer industry; Microwave circuits; Microwave devices; Microwave technology; Neural networks; Neurons; Radio frequency;
fLanguage
English
Publisher
ieee
Conference_Titel
Laser and Fiber-Optical Networks Modeling, 2003. Proceedings of LFNM 2003. 5th International Workshop on
Print_ISBN
0-7803-7709-5
Type
conf
DOI
10.1109/LFNM.2003.1246151
Filename
1246151
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