About this document
Extra Regression Model 19-03-2026 v1 by Sajal Kesharwani is a document available to read on EtoBox.
This paper explores the use of ensemble-based regression machine learning models for the inverse design of Frequency Selective Surfaces (FSS) aimed at radar-absorbing materials (RAM). The study evaluates the performance of models such as Extra Tree Regressor, Bagging Regressor, and XGBoost Regressor under various training-testing ratios, finding that the Extra Tree Regressor consistently outperforms the others even with limited training data. The results highlight the potential of machine learning technique
- Author
- Sajal Kesharwani
- Language
- EN