Optimizing 5G Smart Antenna Design Parameters using Deep Learning
Keywords:
Deep learning, ANN, 5G antenna, optimization, MSEAbstract
This study focuses on optimizing the design parameters of 5G smart antennas using a deep learning approach, specifically through the implementation of an Artificial Neural Network (ANN) model. The model was trained and validated on a dataset to predict key performance metrics, achieving exceptional accuracy. The results demonstrate a sharp decline in training and validation loss, stabilizing near zero, along with a low Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE) like 2.937, 2.764 and 5.2581. Additionally, the value is nearly 1, indicating the model’s capability in optimizing antenna design.
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