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Enhancement of time domain analysis and optimization through neural networks
Author(s) -
Chu HongSon,
Hoefer Wolfgang J. R.
Publication year - 2007
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/mmce.20212
Subject(s) - time domain , artificial neural network , solver , computer science , microwave , convergence (economics) , resonator , domain (mathematical analysis) , electronic engineering , finite difference time domain method , filter (signal processing) , algorithm , engineering , artificial intelligence , telecommunications , physics , electrical engineering , mathematics , optics , mathematical analysis , economics , computer vision , programming language , economic growth
An efficient computational approach to time domain microwave design and optimization is presented. In particular, artificial neural networks are coupled with a full‐wave time domain simulator in order to model and optimize microwave structures. Furthermore, neural networks are used to predict the late time response from the early time response of a structure to accelerate the convergence of time domain simulations, particularly in the case of high‐Q structures such as filters and resonators. The combination of neural networks with a time domain TLM solver is demonstrated by means of a design example of an iris‐coupled band pass filter. The results demonstrate the dramatic gain in speed and numerical efficiency enabled by this approach to optimizing and modeling microwave devices. © 2007 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2007.
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