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Evaluation of Neural Networks to Predict Target Impedance Violations of Power Delivery Networks
An artificial neural network approach is presented to predict whether a power delivery network setup violates the target impedance. Random decoupling capacitor distributions are evaluated. It is shown that a prediction accuracy close to 90% can be …
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