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CS-GA-XGBoost-Based Model for a Radio-Frequency Power Amplifier under Different Temperatures
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 param...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10535164/ https://www.ncbi.nlm.nih.gov/pubmed/37763836 http://dx.doi.org/10.3390/mi14091673 |