Detail publikace

# Design of Microwave Antennas: Neural Network Approach to Time Domain Modeling of V-Dipole

Originální název

Design of Microwave Antennas: Neural Network Approach to Time Domain Modeling of V-Dipole

Anglický název

Design of Microwave Antennas: Neural Network Approach to Time Domain Modeling of V-Dipole

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

BibTex

``````
@inproceedings{BUT8147,
author="Zbyněk {Lukeš} and Zbyněk {Raida}",
title="Design of Microwave Antennas: Neural Network Approach to Time Domain Modeling of V-Dipole",
annote="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.
",