Artificial Neural Networks for High-Frequency Design

This book explores artificial neural networks (ANNs) and their applications in high-frequency engineering, with particular attention to areas such as antenna design, microwave engineering, and microwave photonics. Emphasis is placed on recent advancements in leveraging ANNs for enhanced forward and inverse modeling, local and global optimization, multi-objective design, uncertainty quantification, and design automation, including system synthesis and unsupervised design approaches. The authors discuss a wide range of ANN architectures, including MLPs, RNNs, LSTMs, ResNets, CNNs, graph neural networks, physics-informed neural networks, neuro space mapping techniques, and multi-fidelity models. The book features detailed case studies and benchmarking of ANN techniques against state-of-the-art methods, offering both practical insight and theoretical grounding.