Forecasting and stabilizing chaotic regimes in two macroeconomic models via artificial intelligence technologies and control methods-Reference-Cited by-同舟云学术

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Forecasting and stabilizing chaotic regimes in two macroeconomic models via artificial intelligence technologies and control methods

Published:2023-05 Issue: Volume:170 Page:113377
ISSN:0960-0779
Container-title:Chaos, Solitons & Fractals
language:en
Short-container-title:Chaos, Solitons & Fractals

Author:

Alexeeva Tatyana^ORCID,Diep Quoc Bao^ORCID,Kuznetsov Nikolay^ORCID,Zelinka Ivan^ORCID

Publisher

Elsevier BV

Subject

General Mathematics,General Physics and Astronomy,Statistical and Nonlinear Physics,Applied Mathematics

Reference32 articles.

1. Deep learning for solving dynamic economic models;Maliar;J Monetary Econ,2021

2. Fernández-Villaverde J, Nuño G, Sorg-Langhans G, Vogler M. Solving high-dimensional dynamic programming problems using deep learning. National Bureau of Economic Research.

3. Manias, panics, and crashes: A history of financial crises;Aliber,2015

4. Chapter 28 - challenges for central banks’ macro models;Lindé,2016

5. Learning in a medium-scale DSGE model with expectations based on small forecasting models;Slobodyan;Am Econ J: Macroecon,2012

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1. Stabilization of Laminars in Chaos Intermittency;International Journal of Bifurcation and Chaos;2024-02

2. Stabilization and complex dynamics initiated by pulsed force in the Rössler system near saddle-node bifurcation;Nonlinear Dynamics;2023-12-20

3. The dark side of artificial intelligence in higher education;The Service Industries Journal;2023-09-27

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