This chapter starts with a review of modern machine learning (ML) techniques. Advantages
and disadvantages of several ML methods taking into account its application to the …

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 …

Analog integrated circuit design is widely considered a time-consuming task due to the
acute dependence of analog performance on the transistors' and passives' dimensions. An …

Mechanisms towards the automatic analog integrated circuit layout design have been an
intensive research topic in the past few decades. Still, the industrial environment has no …

This study introduces technology independent neural network modeling for fundamental
blocks of analog integrated circuits. The circuits modeled here are basic current mirror …

Recently, there have been many studies attempting to take advantage of advancements in
Artificial Intelligence (AI) in Analog and Mixed-Signal (AMS) circuit design. Automated circuit …

Machine Learning (ML) has shown promising results in predicting the behavior of analog
circuits. However, in order to completely cover the design space for today's complicated …

This paper presents a computer-aided design (CAD) tool for automated sizing and
optimization of analog integrated circuits (ICs). This tool uses artificial neural networks …

The use of machine learning-based techniques has expanded to many areas that require
optimization. One of such area is Integrated Circuit (IC) design and sizing optimization …

In this paper, deep learning and artificial neural networks (ANNs) are used to size analog
integrated circuits. In classical optimization-based sizing strategies the computational …