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Application of Computational Electromagnetics Techniques and Artificial Intelligence in the Engineering
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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.
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Keywords
- array antenna
- balanced
- bandpass filter (BPF)
- cascade-forward neural network
- CM suppression
- confluence rings
- diode
- disturbed pattern
- electrically large platforms
- electromagnetic coupling
- electromagnetic topology
- equivalent circuit model
- FDTD
- feed-forward neural network
- field distribution
- field-circuit coupling
- flying ad hoc networks
- full-wave analysis
- ground loss resistance
- high selectivity
- impedance bandwidth (BW)
- irregular cavity
- limiter
- microstrip slotline structure
- microstrip–slotline transition
- microwave filter design
- mixed electric and magnetic couplings
- MOEA/D
- mom
- multi-band antennas
- multi-objective optimization
- multiband planar antenna
- n/a
- nonlinear fitting
- one-dimensional convolutional autoencoders
- online updating
- particle swarm optimization
- physical model
- probabilistic neural network
- radiation pattern
- reactive mechanism
- return loss (RL)
- routing protocol
- shielding effectiveness
- simulation
- slotline stub-loaded resonators (SSLRs)
- SPICE model
- surrogate model
- test method
- three-dimensional high-dynamic network
- umbrella-type antenna
- unmanned aerial vehicle
- UTD
- Verification
- VLF
- wireless communication
Links
DOI: 10.3390/books978-3-7258-1310-0Editions