| 书目名称 | Speeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks | | 编辑 | João L. C. P. Domingues,Pedro J. C. D. C. Vaz,Rica | | 视频video | | | 概述 | Describes 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 | | 丛书名称 | SpringerBriefs in Applied Sciences and Technology | | 图书封面 |  | | 描述 | .In this book, innovative research using artificial neural networks (ANNs) is conducted to automate the sizing task of RF IC design, which is used in two different steps of the automatic design process. The advances in telecommunications, such as the 5th generation broadband or 5G for short, open doors to advances in areas such as health care, education, resource management, transportation, agriculture and many other areas. Consequently, there is high pressure in today’s market for significant communication rates, extensive bandwidths and ultralow-power consumption. This is where radiofrequency (RF) integrated circuits (ICs) come in hand, playing a crucial role. This demand stresses out the problem which resides in the remarkable difficulty of RF IC design in deep nanometric integration technologies due to their high complexity and stringent performances. Given the economic pressure for high quality yet cheap electronics and challenging time-to-market constraints, there is an urgent need for electronic design automation (EDA) tools to increase the RF designers’ productivity and improve the quality of resulting ICs. In the last years, the automatic sizing of RF IC blocks in deep nan | | 出版日期 | Book 2023 | | 关键词 | machine learning; deep learning; neural networks; computational intelligence; analog circuits | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-25099-6 | | isbn_softcover | 978-3-031-25098-9 | | isbn_ebook | 978-3-031-25099-6Series ISSN 2191-530X Series E-ISSN 2191-5318 | | issn_series | 2191-530X | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 16:29:30
