In this paper, the application of regression-based supervised machine learning (ML) methods to the modeling of integrated inductors and transformers is examined. Different ML techniques are used and compared to improve accuracy. However, it is demonstrated that none of the ML techniques considered provided good results unless a smart modeling...
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February 22, 2024 (v1)PublicationUploaded on: February 24, 2024
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October 11, 2019 (v1)Publication
This paper describes ESPRIT 29648, concerning the development of an advanced methodology for the design of a mixed-signal application-driven quadrature D/A interface sub-system, aiming at its reusability by a retargetting procedure with minimal changes to their structural sub-blocks. The methodology is demonstrated, first, by developing a...
Uploaded on: March 27, 2023