Levenberg-Marquardt algorithm for Mackey-Glass chaotic time series prediction
DOI10.1155/2014/193758zbMath1419.62264OpenAlexW2125253748WikidataQ59038666 ScholiaQ59038666MaRDI QIDQ2320690
Xingfang Zhang, Junsheng Zhao, Yong-Min Li, Xing-jiang Yu
Publication date: 23 August 2019
Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2014/193758
Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Learning and adaptive systems in artificial intelligence (68T05) Time series analysis of dynamical systems (37M10)
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Cites Work
- Theory of functional differential equations. 2nd ed
- The Poincaré-Bendixson theorem for monotone cyclic feedback systems with delay
- Dynamics of learning near singularities in radial basis function networks
- A Differential-Delay Equation Arising in Optics and Physiology
- An Algorithm for Least-Squares Estimation of Nonlinear Parameters
- Algorithms for the Solution of the Nonlinear Least-Squares Problem
- The 2-dimensional attractor of 𝑥’(𝑡)=-𝜇𝑥(𝑡)+𝑓(𝑥(𝑡-1))
- Oscillation and Chaos in Physiological Control Systems
- Respiratory Control and the Onset of Periodic Breathing
- Domain-decomposition method for the global dynamics of delay differential equations with unimodal feedback
- Dynamics of Learning Near Singularities in Layered Networks
- A method for the solution of certain non-linear problems in least squares
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