When machine learning meets fractional-order chaotic signals: detecting dynamical variations
type: Item
instance of: scholarly article
title: When machine learning meets fractional-order chaotic signals: detecting dynamical variations
zbMATH Open document ID: 1498.68242
author: Gürkan Kavuran
published in: Chaos, Solitons and Fractals
publication date: 2022-11-18T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 34A08
Mathematics Subject Classification ID: 37D45
Mathematics Subject Classification ID: 37M10
Mathematics Subject Classification ID: 68T07
zbMATH DE Number: 7620201
zbMATH Keywords: fractional-order dynamical systems
zbMATH Keywords: chaos
zbMATH Keywords: deep learning
zbMATH Keywords: BiLSTM
zbMATH Keywords: time series
zbMATH Keywords: classification
describes a project that uses: DFOC
describes a project that uses: sysdfod
MaRDI profile type: Publication
full work available at URL: j.chaos.2022.111908
OpenAlex ID: W4213265488
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DOI: 10.1016/J.CHAOS.2022.111908
description: scientific article; zbMATH DE number 7620201