Radial basis function neural networks for optimal control with model reduction and transfer learning
This paper proposes a method to compute the solutions of linear optimal control expressed
in terms of the radial basis function neural networks with Gaussian activation functions for …
in terms of the radial basis function neural networks with Gaussian activation functions for …
Robustness improvement of optimal control in terms of RBFNN with empirical model reduction and transfer learning
This paper proposes a method to compute solutions of optimal controls for dynamic systems
in terms of radial basis function neural networks (RBFNN) with Gaussian neurons. The …
in terms of radial basis function neural networks (RBFNN) with Gaussian neurons. The …
Contributions to the mathematical analysis and numerical simulation of stochastic models of general equilibrium with heterogeneous agents and fixed costs
J Ráfales - 2023 - ruc.udc.es
In the framework of general equilibrium models for heterogeneous agents under rational
expectations, we analyze different problems to establish their mathematical model and …
expectations, we analyze different problems to establish their mathematical model and …