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

mechanism to achieve maximum decision-making efficiency. [5/5 of https://t.co/DrxQ75Za13]

quantitative characteristics of the model's dynamics before and after applying control and verify the obtained results by numerical simulation. Proposed approach can improve the reliability of forecasting and tuning of the economic [4/5 of https://t.co/Drx

algorithms and the continuous deep Q-learning method in combination with Pyragas control method for deriving a control action that stabilizes unstable periodic trajectories and suppresses chaotic dynamics. We compare qualitative and [3/5 of https://t.co/Dr

reduces their predictive power. In this paper, we study the regimes of behavior of two economic models and identify irregular dynamics in them. Using these models as an example, we demonstrate the effectiveness of evolutionary [2/5 of https://t.co/DrxQ75Za