Neural Network-Based Genetic Algorithm for Complex Circuit Design of High-Power Vacuum Electron Device

The circuits of high-power vacuum electron devices (HPVEDs) typically possess complex topologies that are crucial for efficiently converting electron beam energy to microwave energy. Due to the highly nonlinear beam-wave interactions, designing HPVED circuits generally relies on extensive particle-i...

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Bibliografiska uppgifter

Huvudupphov:	Dongyang Wang, Yonggang Che, Hongfei Yu, Yan Teng
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	IEEE 2025-01-01
Serie:	IEEE Access
Ämnen:	Artificial neural network (ANN) frequency-tunable device genetic algorithm (GA) high-power microwave (HPM) particle-in-cell (PIC) simulation slow wave circuit
Länkar:	https://ieeexplore.ieee.org/document/10937091/
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