Work

Using Deep Learning Neural Networks to Solve Optimization Problems in Economy

Year: 2024

Type: article

Abstract: : In this work, we have used multilayer neural networks to solve high-dimensional dynamic programming problems. We propose a deep learning algorithm to efficiently compute the overall solution for this class of problems. Importantly, our method does not rely on integral approximation but instead on derivative approximation. We evaluate the effectiveness of the proposed method through the standard neoclassical growth model. Optimization, HJB equation, machine learning, neural network.

Source: VNU Journal of Science Mathematics - Physics

DOI: 10.25073/2588-1124/vnumap.4949

Authors: Vu Tuan Anh, Le Thi Thuy Gang, Do Thi Loan, Pham Van Khanh

Institutions: Vietnam National University, Hanoi, Vietnam Academy of Science and Technology

Language: English

Topic: Adaptive Dynamic Programming Control

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: Vietnam Academy of Science and Technology

OpenAlex ID: W4405830383

FWCI:

Cites:

Cited by:

Related to: 10