Physics-Informed Neural Network (PINN) Based Deep Learning Approach for Prediction of Return Loss and Resonant Frequency of Slot

Name: Physics-Informed Neural Network (PINN) Based Deep Learning Approach for Prediction of Return Loss and Resonant Frequency of Slot
Creator: Taksala Devapriya Amalraj
Published: 2026-04-17T17:24:54+08:00

IEEE2026-04-17 收录

纺织天线设计

物理信息神经网络

数据链接：

https://ieee-dataport.org/documents/physics-informed-neural-network-pinn-based-deep-learning-approach-prediction-return-loss 数据链接链接失效反馈

官方服务：

资源简介：

This submission includes a Physics-Informed Neural Network (PINN)-based model trained on a dataset of textile antenna parameters. The attached image summarizes the dataset characteristics. Full dataset available as supplementary material or upon request.

提供机构：

Taksala Devapriya Amalraj

Physics-Informed Neural Network (PINN) Based Deep Learning Approach for Prediction of Return Loss and Resonant Frequency of Slot

资源简介：

相关数据集