Machine Learning-Aided Design of Defected Ground Structures for PRGW-Based MIMO Antennas

Keyphrases

• Machine Learning 100%
• Multiple-input multiple-output 100%
• Antenna 100%
• Defected Ground Structure 100%
• Printed Ridge Gap Waveguide 100%
• Aided Design 100%
• Two-port 66%
• Root Mean Square Error 33%
• Machine Learning Based 33%
• Particle Swarm Optimization 33%
• Design Approach 33%
• High Gain 33%
• Artificial Neural Network 33%
• Radiation Efficiency 33%
• Antenna Design 33%
• Multiple-input multiple-output System 33%
• Antenna Element 33%
• Standard Genetic Algorithm 33%
• Gap Waveguide Technology 33%
• Scalable Machine Learning 33%
• Isolation Enhancement 33%
• Enhanced Isolation 33%
• EM Simulator 33%
• Internet Space 33%
• Element Separation 33%

Engineering

• Learning System 100%
• Waveguide 100%
• Antenna 100%
• Input Multiple 100%
• Defected Ground Structures 100%
• Aided Design 100%
• Particle Swarm Optimization 25%
• Genetic Algorithm 25%
• Artificial Neural Network 25%
• Radiation Efficiency 25%
• Output System 25%
• Antenna Element 25%
• Root-Mean-Squared Error 25%

Chemical Engineering

• Learning System 100%
• Neural Network 50%