Construction of Enterprise
Year: 2025
Type: article
Abstract: The measurement method of high-quality development of enterprises has gradually attracted attention. It is difficult for traditional measurements to fully reflect the comprehensive development level and dynamic characteristics of enterprises. To solve this problem, this paper proposes a method to measure the high-quality development of enterprises based on convolutional neural network (CNN). Firstly, based on the data sets of financial status, innovation ability, social responsibility, and environmental protection, a measurement model based on CNN is designed, which realizes the automatic calculation of high-quality development scores of enterprises. The advantages of the CNN model in accuracy, robustness, and generalization ability are verified by experiments. The results show that the comprehensive performance of the CNN model is better than the traditional analytic hierarchy process and support vector machine. This study not only provides effective decision support tools for enterprise managers but also provides a data basis for decision makers to formulate accurate support strategies.
Authors: Qiuju Zhu, Chengao Pan
Institutions: Lianyungang Normal College, Nanjing Tech University
Language: English
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411893444