Behavioral Modeling of Power Amplifiers With Dynamic Fuzzy Neural Networks

In this letter, dynamic fuzzy neural networks (D-FNN) are applied to model power amplifiers (PAs) with memory effects. The D-FNN model implements Takagi-Sugeno-Kang (TSK) fuzzy systems based on extended radial bias function (RBF) neural networks. The parameters of the model are trained by the online...

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Veröffentlicht in:	IEEE microwave and wireless components letters 2010-09, Vol.20 (9), p.528-530
Hauptverfasser:	Zhai, Jianfeng, Zhou, Jianyi, Zhang, Lei, Hong, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Amplifiers Applied sciences Circuit properties Dynamic fuzzy neural networks (D-FNN) Dynamics Electric, optical and optoelectronic circuits Electronic circuits Electronic equipment and fabrication. Passive components, printed wiring boards, connectics Electronics Exact sciences and technology Fuzzy Fuzzy logic Fuzzy neural networks Fuzzy set theory Fuzzy systems Mathematical models memory effects Microwaves Neural networks Neurons power amplifer (PA) Power amplifiers Power system modeling Recruitment System performance Takagi-Sugeno-Kang model Testing
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