Reprint

Application of Computational Electromagnetics Techniques and Artificial Intelligence in the Engineering

Edited by
May 2024
182 pages
  • ISBN978-3-7258-1309-4 (Hardback)
  • ISBN978-3-7258-1310-0 (PDF)

This book is a reprint of the Special Issue Application of Computational Electromagnetics Techniques and Artificial Intelligence in the Engineering that was published in

Computer Science & Mathematics
Engineering
Physical Sciences
Summary

This Special Issue introduces the latest developments in electromagnetic computing and artificial intelligence technology. Artificial intelligence technology can be applied to the modeling, analysis, and optimization design of microwave equipment, solving the routing problem of self-organizing networks in small unmanned aerial vehicle systems, calculating the radiation characteristics of antenna arrays on large electrical platforms, analyzing the impact of electromagnetic wave coupling on electronic devices, simulating the field distribution characteristics of electronic devices, and so on. With the help of artificial intelligence, designers can more conveniently, quickly, and accurately solve engineering problems.

Format
  • Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
multi-objective optimization; microwave filter design; MOEA/D; surrogate model; one-dimensional convolutional autoencoders; unmanned aerial vehicle; flying ad hoc networks; routing protocol; three-dimensional high-dynamic network; reactive mechanism; array antenna; disturbed pattern; electrically large platforms; MoM; UTD; confluence rings; ground loss resistance; umbrella-type antenna; VLF; diode; SPICE model; nonlinear fitting; simulation; verification; microwave filter design; one-dimensional convolutional autoencoders; online updating; particle swarm optimization; surrogate model; equivalent circuit model; physical model; limiter; diode; electromagnetic coupling; FDTD; field-circuit coupling; irregular cavity; electromagnetic topology; field distribution; shielding effectiveness; test method; multiband planar antenna; wireless communication; impedance bandwidth (BW); return loss (RL); radiation pattern; multi-band antennas; feed-forward neural network; cascade-forward neural network; probabilistic neural network; full-wave analysis; balanced; microstrip–slotline transition; mixed electric and magnetic couplings; bandpass filter (BPF); balanced; microstrip slotline structure; CM suppression; high selectivity; slotline stub-loaded resonators (SSLRs); n/a