State-of-the-Art: AI-Assisted Surrogate Modeling and Optimization for Microwave Filters (2022)

First Author: Yu Y

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/tmtt.2022.3208898

Publication URI: http://dx.doi.org/10.1109/tmtt.2022.3208898

Type: Journal Article/Review

Parent Publication: IEEE Transactions on Microwave Theory and Techniques

Issue: 11