Obtaining initial parameter estimates for chaotic dynamical systems using linear associative memories
type: Item
instance of: scholarly article
title: Obtaining initial parameter estimates for chaotic dynamical systems using linear associative memories
zbMATH Open document ID: 0846.65030
DOI: 10.1016/0096-3003(95)00153-0
author: Mu Gu
author: R. E. Kalaba
author: Grant A. Taylor
published in: Applied Mathematics and Computation
publication date: 1996-06-23T00:00:00Z
Mathematics Subject Classification ID: 65K10
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 93B30
zbMATH DE Number: 892455
zbMATH Keywords: linear associative memories
zbMATH Keywords: parameter estimation
zbMATH Keywords: nonlinear dynamical systems
zbMATH Keywords: nonlinear optimization
zbMATH Keywords: successive approximation schemes
zbMATH Keywords: chaotic system
zbMATH Keywords: logistic map
zbMATH Keywords: optimal memory matrices
MaRDI profile type: Publication
full work available at URL: 0096-3003(95)00153-0
OpenAlex ID: W1969180929
cites work: Linear and nonlinear associative memories for parameter estimation
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cites work: Self-organization and associative memory.
cites work: Differentiable dynamical systems
cites work: On the abundance of aperiodic behaviour for maps on the interval
cites work: Q3993502
description: scientific article; zbMATH DE number 892455