2DS-L: a dynamical system decomposition of signal approach to learning with application in time series prediction

DOI10.1016/J.PHYSD.2024.134203MaRDI QIDQ6558870

S. Pourmohammad Azizi

Publication date: 21 June 2024

Published in: Physica D (Search for Journal in Brave)

zbMATH Keywords

neural networktime seriesdynamical systemsignal decompositionlong short-term memorygated recurrent unit

Mathematics Subject Classification ID

Artificial intelligence (68Txx) Communication, information (94Axx) Numerical analysis in abstract spaces (65Jxx)

Cites Work

• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Deep learning with long short-term memory networks for financial market predictions
• An improved empirical mode decomposition method based on the cubic trigonometric B-spline interpolation algorithm
• Hilbert–Huang Transform and Its Applications
• Nearest neighbor pattern classification
• An introduction to the mathematical theory of inverse problems
• Gene selection for cancer classification using support vector machines
• A dynamical systems approach to machine learning

This page was built for publication: 2DS-L: a dynamical system decomposition of signal approach to learning with application in time series prediction

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6558870)