Dataset of Rectangular Microstrip Antenna Design Parameters and Performance Metrics for Machine Learning–Based Prediction and Optimization

This dataset contains numerical simulation data of rectangular microstrip antenna (RMSA) designs used for machine learning–based prediction and optimization of antenna performance. The data were generated using full-wave electromagnetic simulations and consist of geometrical, material, and feeding parameters as inputs, along with key antenna performance indicators as outputs. The dataset is intended to support research in surrogate modeling, data-driven antenna design, and hybrid optimization frameworks combining machine learning and meta-heuristic or reinforcement learning algorithms. All samples are generated under controlled simulation conditions to ensure consistency and reproducibility.