Attention-Based Deep Neural Network for High-Dimensional Microwave Modeling of Non-Reciprocal Bandpass Filters
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3555583
Abstract: This paper presents attention-based deep neural networks for high-dimensional microwave modeling to predict behavior of spatio-temporal modulated (STM) non-reciprocal bandpass filters (NR-BPFs). The proposed method integrates convolutional neural networks (CNN), joint channel-spatial attention, and residual… read more here.
Keywords: microwave modeling; based deep; dimensional microwave; attention ... See more keywords
Hybrid Batch-Normalized Deep Feedforward Neural Network Incorporating Polynomial Regression for High-Dimensional Microwave Modeling
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2023.3340219
Abstract: This paper proposes a new hybrid structure and microwave modeling method that combines polynomial regression with batch-normalized deep feedforward neural network (BN-DFN) to be used in high-dimensional microwave circuit modeling. Utilizing the proposed BN-DFN method… read more here.
Keywords: microwave modeling; dimensional microwave; high dimensional; dfn ... See more keywords