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ANN/DNN-Based Behavioral Modeling of RF/Microwave Components and Circuits

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Scientific Computing in Electrical Engineering SCEE 2008

Part of the book series: Mathematics in Industry ((TECMI,volume 14))

Abstract

This paper provides a tutorial overview of artificial neural network/ dynamic neural network (ANN/DNN) for radio frequency (RF) and microwave modeling and design. We will describe neural network structures suitable for representing high-speed/high-frequency behaviors in components and circuits, ANN training exploiting RF/microwave device and circuit data, formulation of ANN/DNN for microwave component and circuit behavioral modeling, and use of ANN/DNN models for high-level RF/microwave simulation and design optimization.

Invited speaker at the SCEE 2008 conference

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Correspondence to Q. J. Zhang .

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Zhang, Q.J., Zhang, L. (2010). ANN/DNN-Based Behavioral Modeling of RF/Microwave Components and Circuits. In: Roos, J., Costa, L. (eds) Scientific Computing in Electrical Engineering SCEE 2008. Mathematics in Industry(), vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12294-1_28

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