Machine Learning Methods-Based Modeling and Optimization of 3-D-Printed Dielectrics Around Monopole Antenna

Keyphrases

• Machine Learning Techniques 100%
• Gain Pattern 100%
• Monopole Antenna 100%
• Printed Dielectric 100%
• Proposed Methodology 66%
• Dielectric Constant 66%
• Optimization Methods 66%
• Antenna Design 66%
• Nonlinear Problems 33%
• Machine Learning Based 33%
• Design Problems 33%
• Computationally Intensive 33%
• Artificial Neural Network 33%
• Measurement Results 33%
• Computational Challenges 33%
• Design Parameters 33%
• Optimization Tool 33%
• Dielectric Materials 33%
• Genetic Algorithm 33%
• Learning-based Optimization 33%
• Single Beam 33%
• Monopole 33%
• Omnidirectional Pattern 33%
• Gaussian Process Regression 33%
• Two-machine 33%
• Beam-beam 33%
• Gain Performance 33%
• Multiple Beams 33%
• Radiation Properties 33%
• Regression Neural Network 33%
• Beam Pattern 33%
• Metaheuristic Optimization 33%
• Three-beam 33%
• Principal Plane 33%
• Scalable Optimization 33%
• Optimal Direction 33%

Engineering

• Dielectrics 100%
• Machine Learning Method 100%
• Monopole Antenna 100%
• Antenna 50%
• Optimization Method 50%
• Constant Value 50%
• Design Problem 25%
• Simulation Result 25%
• Machine Learning Technique 25%
• Design Parameter 25%
• Artificial Neural Network 25%
• Optimization Technique 25%
• Gaussians 25%
• Genetic Algorithm 25%
• Monopole 25%
• Beam Pattern 25%
• Nonlinear Problem 25%
• Principal Plane 25%

Computer Science

• Principal Plane 33%