Optimized Ensemble Algorithm for Predicting Metamaterial Antenna Parameters

Metamaterial Antenna is a subclass of antennas that makes use metamaterial to improve performance. can overcome the bandwidth constraint associated with tiny antennas. Machine learning receiving lot interest in optimizing solutions variety areas. methods are already significant component ongoing research and anticipated play critical role today's technology. The accuracy forecast mostly determined by model used. purpose this article provide an optimal ensemble for predicting gain Antenna. Support Vector Machines (SVM), Random Forest, K-Neighbors Regressor, Decision Tree Regressor were utilized as basic models. Adaptive Dynamic Polar Rose Guided Whale Optimization method, named AD-PRS-Guided WOA, was used pick features from datasets. suggested compared models based on five variables average model. findings indicate presented using Forest results Root Mean Squared Error (RMSE) (0.0102) RMSE (0.0891) gain. This superior other accurately predict antenna