Detail výsledku
Design of Microwave Antennas: Neural Network Approach to Time Domain Modeling of V-Dipole
Raida Zbyněk, prof. Dr. Ing.
The paper deals with the analysis of a wire V-dipole by Time-Domain Method of Moments (TD-MoM) and with approximating full-wave results by an artificial neural network.
In the first part, the numerical analysis of a wire V-dipole is described and implemented in MATLAB. The numerical solution is compared with published results.
In the second part, the numerical model of a wire V-dipole is used as a teacher of an artificial neural network (ANN) from the Neural Network Toolbox of Matlab. The input patterns of ANN consist of doublets [the length of the antenna arm; the angle between the arms]. The output targets of ANN are corresponding current responses in the source cell. For modeling, three different types of ANN are used and their properties are compared.
TD-MoM,V-dipole, Nerural network, ANN
@inproceedings{BUT8147,
author="Zbyněk {Lukeš} and Zbyněk {Raida}",
title="Design of Microwave Antennas: Neural Network Approach to Time Domain Modeling of V-Dipole",
booktitle="Proceedings of of the International Conference on Electromagnetics in Advanced Applications ICEAA 03",
year="2003",
series="Neuveden",
volume="Neuveden",
number="1",
pages="4",
publisher="Polytecnico di Torino",
address="Geda Grafica&Stampa Nichelino (Torino) Italy",
isbn="88-8202-008-8"
}