scholarly journals A Novel Neural Network Cell Method for Solving Nonlinear Electromagnetic Problems (Adv. Theory Simul. 12/2021)

2021 ◽  
Vol 4 (12) ◽  
pp. 2170030
Author(s):  
Gaojia Zhu ◽  
Longnv Li ◽  
Weinong Fu ◽  
Ming Xue ◽  
Tao Liu ◽  
...  
2021 ◽  
pp. 2100216
Author(s):  
Gaojia Zhu ◽  
Longnv Li ◽  
Weinong Fu ◽  
Ming Xue ◽  
Tao Liu ◽  
...  

2017 ◽  
Vol 2017 ◽  
pp. 1-9
Author(s):  
Yi Chen ◽  
Yu-bo Tian ◽  
Fei-yan Sun

The microwave devices are usually optimized by combining the precise model with global optimization algorithm. However, this method is time-consuming. In order to optimize the microwave devices rapidly, the knowledge-based neural network (KBNN) is used in this paper. Usually, the a priori knowledge of KBNN is obtained by the empirical formulas. Unfortunately, it is difficult to derive the corresponding formulas for the most electromagnetic problems, especially for complex electromagnetic problems; the formula derivation is almost impossible. We use precise mesh model of EM analysis as teaching signal and coarse mesh model as a priori knowledge to train the neural network (NN) by particle swarm optimization (PSO). The NN constructed by this method is simpler than traditional NN in structure which can replace precise model in optimization and reduce the computing time. The results of electromagnetic band-gap (EBG) structures optimally designed by this kind of KBNN achieve increase in the bandwidth and attenuation of the stopband and small passband ripple level which shows the advantages of the proposed KBNN method.


Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1426
Author(s):  
Federico Moro ◽  
Lorenzo Codecasa

A unified discretization framework, based on the concept of augmented dual grids, is proposed for devising hybrid formulations which combine the Cell Method and the Boundary Element Method for static and quasi-static electromagnetic field problems. It is shown that hybrid approaches, already proposed in literature, can be rigorously formulated within this framework. As a main outcome, a novel direct hybrid approach amenable to iterative solution is derived. Both direct and indirect hybrid approaches, applied to an axisymmetric model, are compared with a reference third-order 2D FEM solution. The effectiveness of the indirect approach, equivalent to the direct approach, is finally tested on a fully 3D benchmark with more complex topology.


2006 ◽  
Vol 42 (4) ◽  
pp. 991-994 ◽  
Author(s):  
M. Bullo ◽  
F. Dughiero ◽  
M. Guarnieri ◽  
E. Tittonel

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