AI and Machine Learning for Microwave Design - An Introduction

This presentation will introduce basic types of machine learning methods such as multilayer perceptrons, radial basis function networks, convolutional neural networks, time-delay neural networks, recurrent neural networks, long-short term memory networks, generative adversarial networks, and reinforcement learning. Examples of applications of AI/ML to microwaves to be presented include electromagnetic modeling and optimization, microwave and microwave filter modeling/design.