An Efficient Hybrid Sampling Method for Neural Network-Based Microwave Component Modeling and Optimization

• Published in: IEEE microwave and wireless components letters Vol. 30; no. 7; pp. 625 - 628
• Main Authors: Zhang, Zhen, Cheng, Qingsha S., Chen, Hongcai, Jiang, Fan
• Format: Journal Article
• Language: English
• Published: IEEE 01.07.2020
• Subjects: Adaptation models; Artificial neural networks (ANNs); Computational modeling; microwave component; Microwave theory and techniques; modeling and optimization; Neural networks; Optimization; sampling method; Sampling methods; Testing

In this letter, we propose an efficient hybrid sampling method for microwave component modeling and optimization. The sampling method adaptively chooses samples from global and local samples to form a data set. The local samples are obtained using a greedy-like sampling method to exploit potential o...