Neural Networks for RF and Microwave Design

By Qi-jun Zhang, K. Gupta. 2000

869 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/770ba6013fa90362c6036b4bf47fcaef4ecfafe4

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Citations in the corpus

Artificial neural networks for RF and microwave design - from theory to practice (2003, methodology): “Neural networks, also called Artificial Neural Networks (ANN), are information processing systems with their design inspired by the studies of ability of human-brain to learn from observations and to generalize by abstraction [1].”
EM-based optimization of microwave circuits using artificial neural networks: the state-of-the-art (2003, methodology): “Extended NSM modeling approach used in [36] and [37] for modeling an HEMT.”
Bandwidth Analysis by Introducing Slots in Microstrip Antenna Design Using ANN (2009, background): “The length and the width of the patch are calculated initially by the relationships (1)– (6) given in [25, 26].”
Space mapping: the state of the art (2004, background): “The SM technology has been recognized as a contribution to engineering design [ 18 ], [23]–[27], especially in the microwave and RF arena.”
A comparative overview of microwave and wireless power-amplifier behavioral modeling approaches (2005, background): “due to their formal mathematical support and because they directly lead to a canonical realization, and so to a certain model topology: the polynomial filters [6]–[10] and the artificial neural networks (ANNs) [11]–[13].”
Neural Network Inverse Modeling and Applications to Microwave Filter Design (2008, methodology): “2, the forward models are replaced with the forward sub-models.”
Dynamic behavioral modeling of 3G power amplifiers using real-valued time-delay neural networks (2004, background): “Over the last decade, artificial neural-network (ANN) technology has been successfully applied to RF and microwave applications [11] since they can approximate any continuous”
Wide-band dynamic modeling of power amplifiers using radial-basis function neural networks (2005, methodology): “NNs have also been used for modeling RF and microwave components and circuits—both active and passive—other than PAs [ 10 ].”