Mathematical & simulation study of oscillatory neural network

Author

Bahgat, Gehan A. ; Mahmoud, Ahmed M. ; Mashali, Samia A. ; Satama, A.E.

Author_Institution

Dept. of Syst. & Comput., Electron. Res. Inst., Giza

Volume

2

fYear

2003

fDate

30-30 Dec. 2003

Firstpage

936

Abstract

A nonlinear oscillatory neural model is studied. It is called the modified Ellias-Grossberg model. The mathematical expression for the input range that forces it to oscillate is obtained. Simulation studies are performed to demonstrate the effect of the model parameters on the neuron behavior. Mathematical relations are deduced that can be used in tuning the model properties. The factors affecting the performance, of the interconnected neurons in a two-dimensional network, in their use in image segmentation are investigated. This paper presents the guidelines for tuning the parameters of an oscillatory neural network to meet the requirements of an application

Keywords

image segmentation; neural nets; 2D network; coupling models; image segmentation; interconnected neuron; mathematical expression; model parameter; modified Ellias-Grossberg model; neuron behavior; nonlinear analysis; nonlinear oscillatory neural model; oscillatory neural network; Computational modeling; Computer networks; Frequency synchronization; Guidelines; Image segmentation; Mathematical model; Neural networks; Neurons; Shape; Tuning; coupling models; image segmentation; nonlinear analysis; oscillatory neural networks; parameters; synchronization;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2003 IEEE 46th Midwest Symposium on

Conference_Location

Cairo

ISSN

1548-3746

Print_ISBN

0-7803-8294-3

Type

conf

DOI

10.1109/MWSCAS.2003.1562440

Filename

1562440