Approach for Extreme Learning Machine-Based Microwave Power Device Modeling

The nonlinear representation of active devices plays an important role in microwave circuit design. Whereas, it takes a long time to extract a large amount of large signal data, and the problem of memory resource and CPU occupancy becomes significant. In order to address the problems in traditional...

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Veröffentlicht in:	IEEE access 2022-01, Vol.10, p.1-1
Hauptverfasser:	Lin, Qian, Wang, Xiao-Zheng, Wu, Hai-Feng, Jia, Li-Ning
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Amplifier design Artificial neural networks Back propagation networks BP neural networks Circuit design Data models Design parameters Electronic devices ELM Errors High electron mobility transistors Integrated circuit modeling Large signal modeling Machine learning Mathematical models Microwave circuits Microwave power device Microwave theory and techniques Microwave transistors Modelling Neural networks Power amplifiers Prediction models Predictive models Semiconductor devices Solid modeling Transistor X-Parameters
Online-Zugang:	Volltext
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