Research on Sustainable Development Indicator Prediction of Regional Economic Subsystem Based on Artificial Neural Network
Year: 2022
Type: article
Abstract: Sustainable development system is a “black box,” or at least a “grey box,” and it is not very clear whether there is a causal relationship between various factors. Artificial neural network can simulate the system realistically. In this paper, the artificial neural network BP model is used as a tool, and Matlab language is used to predict the indexes of regional sustainable development economic subsystem. Through data collection, network structure model design, program design, and network training, this study drew the indicator forecast chart, analyzes it, and finally puts forward suggestions. The results show that it is feasible to use an artificial neural network to simulate a sustainable economic subsystem.
Source: Scientific Programming
DOI: 10.1155/2022/1896462
Author: Hongshou Chen
Institution: Huizhou Economics And Polytechnic College
Language: English
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,000
OpenAlex ID: W4285587409