Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning

• Autore: Campbell Sawyer D
• Pubblicazione: Newark : , : John Wiley & Sons, Incorporated, , 2023; ©2023
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (595 pages)
• Disciplina: 537.0285/63
• Soggetto topico: Artificial intelligence; Deep learning (Machine learning)
• Altri autori: WernerDouglas H
• Nota di contenuto: Cover -- Title Page -- Copyright -- Contents -- About the Editors -- List of Contributors -- Preface -- Part I Introduction to AI‐Based Regression and Classification -- Chapter 1 Introduction to Neural Networks -- 1.1 Taxonomy -- 1.1.1 Supervised Versus Unsupervised Learning -- 1.1.2 Regression Versus Classification -- 1.1.3 Training, Validation, and Test Sets -- 1.2 Linear Regression -- 1.2.1 Objective Functions -- 1.2.2 Stochastic Gradient Descent -- 1.3 Logistic Classification -- 1.4 Regularization -- 1.5 Neural Networks -- 1.6 Convolutional Neural Networks -- 1.6.1 Convolutional Layers -- 1.6.2 Pooling Layers -- 1.6.3 Highway Connections -- 1.6.4 Recurrent Layers -- 1.7 Conclusion -- References -- Chapter 2 Overview of Recent Advancements in Deep Learning and Artificial Intelligence -- 2.1 Deep Learning -- 2.1.1 Supervised Learning -- 2.1.1.1 Conventional Approaches
• Sommario/riassunto: This book explores advancements in artificial intelligence and deep learning, particularly focusing on applications in electrical engineering and wave theory. It covers topics such as AI-based regression and classification, neural networks, and the integration of machine learning in designing metasurfaces and electromagnetic applications. Edited by Sawyer D. Campbell and Douglas H. Werner, the book serves as a comprehensive resource for researchers and professionals in the field, aiming to enhance understanding of the latest technologies in AI and deep learning. The intended audience includes academics, engineers, and advanced students interested in AI applications in engineering.
• Titolo autorizzato: Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning
• ISBN: 9781119853923; 1119853923; 9781119853909; 1119853907
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911019109303321
• Lo trovi qui: Univ. Federico II
• Serie: IEEE Press Series on Electromagnetic Wave Theory Series