Minimizing interference in satellite communications using transiently chaotic neural networks
type: Item
instance of: scholarly article
title: Minimizing interference in satellite communications using transiently chaotic neural networks
zbMATH Open document ID: 1186.94218
author: B. E. Eshmatov
publication date: 2010-05-16T00:00:00Z
Mathematics Subject Classification ID: 94A12
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 5708425
zbMATH Keywords: FAP
zbMATH Keywords: satellite communications
zbMATH Keywords: neural network
zbMATH Keywords: optimization
MaRDI profile type: Publication
full work available at URL: j.camwa.2008.10.026
OpenAlex ID: W2033329026
cites work: Q3145804
cites work: A hybrid neural-genetic algorithm for the frequency assignment problem in satellite communications
cites work: Q4936225
cites work: Neural networks and physical systems with emergent collective computational abilities.
cites work: Neurons with graded response have collective computational properties like those of two-state neurons.
cites work: A neural network model as a globally coupled map and applications based on chaos
cites work: Solution of the optimization problem using the neural network model as a globally coupled map
cites work: A universal circuit for studying and generating chaos. I. Routes to chaos
cites work: A study of the transiently chaotic neural network for combinatorial optimization.
DOI: 10.1016/J.CAMWA.2008.10.026
published in: Computers & Mathematics with Applications
description: scientific article; zbMATH DE number 5708425