Chaos time-series prediction based on an improved recursive Levenberg-Marquardt algorithm
type: Item
instance of: scholarly article
title: Chaos time-series prediction based on an improved recursive Levenberg-Marquardt algorithm
zbMATH Open document ID: 1373.68334
author: Xiancheng Shi
author: Yucheng Feng
author: Jinsong Zeng
author: Kefu Chen
published in: Chaos, Solitons and Fractals
publication date: 2017-11-02T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 37M10
zbMATH DE Number: 6802290
zbMATH Keywords: recursive algorithm
zbMATH Keywords: Levenberg-Marquardt
zbMATH Keywords: online machine learning
zbMATH Keywords: neural networks
MaRDI profile type: Publication
full work available at URL: j.chaos.2017.04.032
OpenAlex ID: W2609501756
cites work: Q3342413
cites work: Efficient training of neural nets for nonlinear adaptive filtering using a recursive Levenberg-Marquardt algorithm
cites work: Configuring radial basis function network using fractal scaling process with application to chaotic time series prediction
cites work: Q5689624
DOI: 10.1016/J.CHAOS.2017.04.032
description: scientific article; zbMATH DE number 6802290