Abstract
This chapter details the envisioned solution based on a past approach that is limited to a single circuit topology and punishes valid, innovative predictions. Attention is placed into the development of the input features in order to expand the solution’s scope and increase generalization, and, the introduction of a new loss function that evaluates the prediction made through the fulfillment of the circuit’s topological constraints.
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Gusmão, A., Horta, N., Lourenço, N., Martins, R. (2020). ANN Models for Analog Placement Automation. In: Analog IC Placement Generation via Neural Networks from Unlabeled Data. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-50061-0_4
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DOI: https://doi.org/10.1007/978-3-030-50061-0_4
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