Publication detail

Model korotkosamknutoi shchelevoi linii v vide isskustvennoi neironnoi seti

Authors: Seidl Pavel | Taufer Ivan

Year: 2009

Type of publication: článek v odborném periodiku

Name of source: Nejrokompiutery: razrabotka, primenenie

Publisher name: Radiotechnika

Place: Moskva

Page from-to: 57-61

Titles:

Language	Name	Abstract	Keywords
cze	Model zkratovaného štěrbinového vlnovodu ve tvaru umělé neuronové sítě	Článek je věnován zkratovanému štěrbinovému vlnovodu s cílem zkonstruovat jeho model ve tvaru umělé neuronové sítě. Model představuje systém se dvěmi vstupy a jedním výstupem.
eng	Short-circuited slot line model in the form of artificial neural network	A short-circuited slot line has been investigated with the aim to construct its model in the form of the artificial neural network (ANN). Mathematical description of this line is complicated function with dependence of source signal and physical properties of the line to the terminal impedance. The aim was to get the impedance dependence on slot width and source signal frequency. The model represents the system with two inputs - the slot width and the source signal frequency - and one output - the real or imaginary component of the line terminal impedance. The "Neural Network Toolbox" of the computing system MATLAB/SIMULINK was used to create artificial neural network with two inputs, one output and one hidden layer. Proposed neural network was trained by the Backpropagation algorithm and its modification, the Levenberg-Marquardt's method. Trained network described very well real behaviour of investigated line. Average error between experimental impedance and model data was 1.22 %. The results demonstrated the capability of using of the ANN as the tool for the modelling of the investigated system.	Artificial neural network;Backpropagation algorithm

Search

Login for students

Login for employees

Publication detail

Department

Map

Services

Popular Links