Artificial Neural Networks for High-Frequency Design
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Beschreibung
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.
- Provides comprehensive coverage of recent advances in artificial neural networks (ANNs) for high-frequency design;
- Covers various ANN types and custom-developed architectures, applied to antenna and microwave circuit design;
- Includes real case studies, demonstrating application of ANN techniques across diverse microwave and antenna structures.
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.
Provides comprehensive coverage of recent advances in artificial neural networks (ANNs) for high-frequency design Covers various ANN types and custom-developed architectures, applied to antenna and microwave circuit design Includes real case studies, demonstrating application of ANN techniques across diverse microwave and antenna structures
Autor*in
Slawomir Koziel
Themen in »Artificial Neural Networks for High-Frequency Design«
High-frequency design Machine learning Design optimization Optimization methods Artificial neural networks Antenna engineering