CS-GA-XGBoost-Based Model for a Radio-Frequency Power Amplifier under Different Temperatures
Jiayi Wang,
Shaohua Zhou
Abstract:Machine learning methods, such as support vector regression (SVR) and gradient boosting, have been introduced into the modeling of power amplifiers and achieved good results. Among various machine learning algorithms, XGBoost has been proven to obtain high-precision models faster with specific parameters. Hyperparameters have a significant impact on the model performance. A traditional grid search for hyperparameters is time-consuming and labor-intensive and may not find the optimal parameters. To solve the pr… Show more
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