是他笨 发表于 2025-3-23 13:06:11
https://doi.org/10.1007/978-3-031-25099-6machine learning; deep learning; neural networks; computational intelligence; analog circuitsATP861 发表于 2025-3-23 15:14:55
João L. C. P. Domingues,Pedro J. C. D. C. Vaz,RicaDescribes the developments in the field of machine/deep learning and electronic design automation.Presents the process, Voltage and Temperature Corner Performance Estimator using ANNs.Applies deep lea琐碎 发表于 2025-3-23 20:58:09
978-3-031-25098-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl史前 发表于 2025-3-24 00:49:23
Speeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks978-3-031-25099-6Series ISSN 2191-530X Series E-ISSN 2191-5318Isthmus 发表于 2025-3-24 03:25:08
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Introduction,C) design creates a large design productivity gap. The level of automation provided by electronic design automation (EDA) tools for analog IC design is not even close to the level of automation found in digital design. Moreover, as analog IC design follows very heterogeneously and knowledge-intensivREIGN 发表于 2025-3-24 16:02:21
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Convergence Classifier and Frequency Guess Predictor Based on ANNs,led oscillators (VCOs), which play a crucial role in ultralow-power radios, different tradeoffs between power, phase noise, range, frequency pushing, and silicon area, turn their design into a cumbersome task without the assistance of electronic design automation (EDA), a field where simulation-baseadj忧郁的 发表于 2025-3-25 01:16:30
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