Overview
- Addresses the automatic sizing and layout of analog integrated circuits using deep learning and artificial neural networks
- Presents and alternative for automatic Analog integrated circuits
- Proposes a methodology implemented and tested on two analog circuit topologies
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
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Table of contents (5 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Ricardo Martins received the B.Sc., M.Sc. and Ph.D. degrees in Electrical and Computer Engineering from Instituto Superior Técnico – University of Lisbon (IST-UL), Portugal, in 2011, 2012 and 2015, respectively. He iswith Instituto de Telecomunicações since 2011 developing tools for electronic design automation, where he now holds a postdoctoral research position. He is also an invited Assistant Professor in the Department of Electrical and Computer Engineering of IST-UL. He has authored or co-authored about 50 publications, including books, book chapters, international journals and conferences papers. His current research interests include: electronic design automation tools for analog, mixed-signal and radio-frequency integrated circuits, deep nanometer integration technologies, soft computing, machine learning and deep learning.
Nuno Horta (S’89–M’97–SM’11) received the Licenciado, MSc, PhD and Habilitation degrees in Electrical and Computer Engineer from Instituto Superior Técnico (IST), University of Lisbon, Portugal, in 1989, 1992, 1997 and 2014, respectively. In March 1998, he joined the IST Electrical and Computer Engineering Department where he is currently an Associate Professor with Habilitation. Since 1998, he is, also, with Instituto de Telecomunicações, where he is the head of the Integrated Circuits Group. He has supervised more than 100 post-graduation works between MSc and PhD theses. He has authored or co-authored more than 150 publications as books, book chapters, international journals papers and conferences papers. He has also participated as researcher or coordinator in several National and European R&D projects. He was General Chair of AACD 2014, PRIME 2016 and SMACD 2016 and was member of the organizing and technical program committees of several other conferences, e.g., IEEE ISCAS, IEEE LASCAS, DATE, NGCAS, etc. He is Associated Editor of Integration, The VLSI Journal, from Elsevier, and usually acts as reviewer of several prestigious publications, e.g., IEEE TCAD, IEEE TEC, IEEE TCAS, ESWA, ASC, etc. His research interests are mainly in analog and mixed-signal IC design, analog IC design automation, soft computing and data science.
Bibliographic Information
Book Title: Using Artificial Neural Networks for Analog Integrated Circuit Design Automation
Authors: João P. S. Rosa, Daniel J. D. Guerra, Nuno C. G. Horta, Ricardo M. F. Martins, Nuno C. C. Lourenço
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-3-030-35743-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-35742-9Published: 02 January 2020
eBook ISBN: 978-3-030-35743-6Published: 11 December 2019
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: XVIII, 101
Topics: Circuits and Systems, Signal, Image and Speech Processing, Computational Intelligence