Applications of Deep Learning in Electromagnetics: Teaching Maxwell's Equations to Machines

This book discusses recent advances in the application of deep learning techniques to electromagnetic theory and engineering. The contents represent pioneer applications of deep learning techniques to electromagnetic engineering, where physical principles described by the Maxwell's equations dominate.

Résumé

This book discusses recent advances in the application of deep learning techniques to electromagnetic theory and engineering. The contents represent pioneer applications of deep learning techniques to electromagnetic engineering, where physical principles described by the Maxwell's equations dominate.

Détails du produit

• Collaboration: Maokun Li (Editeur), Maokun (Associate Professor Li (Editeur), Marco Salucci (Editeur), Marco (Assistant Professor Salucci (Editeur)
• Edition: Institution of Engineering & Technology
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 08.06.2023
• EAN: 9781839535895
• ISBN: 978-1-83953-589-5
• Pages: 480
• Dimensions: 156 mm x 234 mm x 27 mm
• Poids: 848 g
• Thème: Electromagnetic Waves
• Catégorie: Sciences naturelles, médecine, informatique, technique > Physique, astronomie > Electricité, magnétisme, optique