In this paper. we propose a method based on deep neural networks for the statistical design of flip-flops. taking into account nonlinear performance constraints. Flip-flop design and manufacturing are influenced by random variations in the technological process. https://www.thebrickes.shop/product-category/pet-hair-clippers/
Yield Maximization of Flip-Flop Circuits Based on Deep Neural Network and Polyhedral Estimation of Nonlinear Constraints
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