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The use of artificial neural networks in nonlinear microwave devices and circuits modeling: An application to telecommunication system design (invited article)
Abstract : The design of telecommunication systems is a hierarchical process involving use of a large set of simulation tools and relying on appropriate modeling of system elements to obtain get-it-right-the-first-time fabrication. This paper investigates in detail possible application of neural networks to modeling of large-signal hard-nonlinear behavior of power transistors for circuit design purpose, and modeling of nonlinear circuits such as power amplifiers for system design purpose. The problem of finding a good model is discussed through solutions offered by neural networks, with particular interest in wavelet networks trained by BFGS algorithms. Finally, experimental results are reported. ©1999 John Wiley & Sons, Inc. Int J RF and Microwave CAE 9: 198–215, 1999.
https://hal-unilim.archives-ouvertes.fr/hal-01287613
Contributeur : Denis Barataud <>
Soumis le : dimanche 13 mars 2016 - 23:33:10
Dernière modification le : mardi 28 avril 2020 - 09:28:02
Contributeur : Denis Barataud <>
Soumis le : dimanche 13 mars 2016 - 23:33:10
Dernière modification le : mardi 28 avril 2020 - 09:28:02
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