Optimizing MMIC performance: The synergy of AI models and heterogeneous integration process
Jie Liu,
Jiayu Chen,
Yifan Wu
et al.
Abstract:This study presents a novel approach for optimizing the parameters of monolithic microwave integrated circuit (MMIC) functional units using machine‐learning techniques and multi‐objective optimization algorithms. We utilize advanced machine‐learning methods, including random forest, artificial neural networks (ANNs), and recurrent neural networks (RNNs), to construct highly accurate models that predict the performance of these units. These models are subsequently integrated with a multi‐objective optimization … Show more
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