Using Artificial Neural Networks for Analog Integrated Circuit Design Automation

Using Artificial Neural Networks for Analog Integrated Circuit Design Automation
Author :
Publisher : Springer Nature
Total Pages : 117
Release :
ISBN-10 : 9783030357436
ISBN-13 : 3030357430
Rating : 4/5 (430 Downloads)

Book Synopsis Using Artificial Neural Networks for Analog Integrated Circuit Design Automation by : João P. S. Rosa

Download or read book Using Artificial Neural Networks for Analog Integrated Circuit Design Automation written by João P. S. Rosa and published by Springer Nature. This book was released on 2019-12-11 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the automatic sizing and layout of analog integrated circuits (ICs) using deep learning (DL) and artificial neural networks (ANN). It explores an innovative approach to automatic circuit sizing where ANNs learn patterns from previously optimized design solutions. In opposition to classical optimization-based sizing strategies, where computational intelligence techniques are used to iterate over the map from devices’ sizes to circuits’ performances provided by design equations or circuit simulations, ANNs are shown to be capable of solving analog IC sizing as a direct map from specifications to the devices’ sizes. Two separate ANN architectures are proposed: a Regression-only model and a Classification and Regression model. The goal of the Regression-only model is to learn design patterns from the studied circuits, using circuit’s performances as input features and devices’ sizes as target outputs. This model can size a circuit given its specifications for a single topology. The Classification and Regression model has the same capabilities of the previous model, but it can also select the most appropriate circuit topology and its respective sizing given the target specification. The proposed methodology was implemented and tested on two analog circuit topologies.


Using Artificial Neural Networks for Analog Integrated Circuit Design Automation Related Books

Using Artificial Neural Networks for Analog Integrated Circuit Design Automation
Language: en
Pages: 117
Authors: João P. S. Rosa
Categories: Technology & Engineering
Type: BOOK - Published: 2019-12-11 - Publisher: Springer Nature

GET EBOOK

This book addresses the automatic sizing and layout of analog integrated circuits (ICs) using deep learning (DL) and artificial neural networks (ANN). It explor
Analog IC Placement Generation via Neural Networks from Unlabeled Data
Language: en
Pages: 96
Authors: António Gusmão
Categories: Computers
Type: BOOK - Published: 2020-06-30 - Publisher: Springer Nature

GET EBOOK

In this book, innovative research using artificial neural networks (ANNs) is conducted to automate the placement task in analog integrated circuit layout design
Machine Learning Applications in Electronic Design Automation
Language: en
Pages: 585
Authors: Haoxing Ren
Categories: Technology & Engineering
Type: BOOK - Published: 2023-01-01 - Publisher: Springer Nature

GET EBOOK

​This book serves as a single-source reference to key machine learning (ML) applications and methods in digital and analog design and verification. Experts fr
Analog VLSI Design Automation
Language: en
Pages: 240
Authors: Sina Balkir
Categories: Computers
Type: BOOK - Published: 2003-06-27 - Publisher: CRC Press

GET EBOOK

The explosive growth and development of the integrated circuit market over the last few years have been mostly limited to the digital VLSI domain. The difficult
Speeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks
Language: en
Pages: 115
Authors: João L. C. P. Domingues
Categories: Computers
Type: BOOK - Published: 2023-03-20 - Publisher: Springer Nature

GET EBOOK

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 differe