Using Polynomial Regression and Artificial Neural Networks for Reusable Analog IC Sizing

Nuno Lourenço 0003, Engin Afacan, Ricardo Martins 0003, Fábio Passos, António Canelas, Ricardo Póvoa, Nuno Horta, Günhan Dündar. Using Polynomial Regression and Artificial Neural Networks for Reusable Analog IC Sizing. In 16th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, SMACD 2019, Lausanne, Switzerland, July 15-18, 2019. pages 13-16, IEEE, 2019. [doi]

Authors

Nuno Lourenço 0003

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Engin Afacan

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Ricardo Martins 0003

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Fábio Passos

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António Canelas

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Ricardo Póvoa

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Nuno Horta

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Günhan Dündar

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