A numerical method for frequency determination in the astable cellular neural networks with opposite-sign templates

Loading...
Thumbnail Image
Date
2006
Authors
Özmen, Atilla
Tander, Baran
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Research Projects
Organizational Units
Journal Issue
Abstract
In this study a numerical method is proposed to determine the oscillation frequencies in the astable cellular neural networks with opposite-sign templates [1]. This method depends on the training of a multilayer perceptron that uses various template coefficients and the correspondant frequency values as inputs and outputs. First of all a frequency surface is obtained from templates and then training samples are picked from this surface in order to apply to multilayer perceptron. The effects of the template coefficients to the oscillation frequencies are also investigated. Furthermore an oscillator design is carried out for simulation and the performance as well as the advantages of the proposed method are evaluated.
Description
Keywords
Turkish CoHE Thesis Center URL
Citation
0
WoS Q
N/A
Scopus Q
N/A
Source
Volume
Issue
Start Page
9
End Page
+