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Enhancement of time domain analysis and optimization through neural networks

✍ Scribed by Hong-Son Chu; Wolfgang J. R. Hoefer

Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
478 KB
Volume
17
Category
Article
ISSN
1096-4290

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✦ Synopsis

An efficient computational approach to time domain microwave design and optimization is presented. In particular, artificial neural networks are coupled with a fullwave 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. V

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