Dynamic Measurement Algorithm for High-Quality Development of Enterprises Using Big Data

被引：0

作者：

Zhu Q. ^{[1
]}

Pan C. ^{[2
]}

机构：

[1] School of Foreign Languages and Business, Lianyungang Normal College, Jiangsu, Lianyungang

[2] College of Computer and Information Engineering, Nanjing Tech University, Jiangsu, Nanjing

来源：

Computer-Aided Design and Applications | 2024年 / 21卷 / S21期

关键词：

Big Data; Computer-Aided Technology; Convolutional Neural Network; Dynamic Measurement Algorithm; High-Quality Development;

D O I：

10.14733/cadaps.2024.S21.84-100

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article first reviews the research achievements and current situation of evaluating the high-quality development (HQD) of enterprises, providing theoretical support and a reference basis for algorithm design. Then, based on the research objectives and issues, design and develop a dynamic measurement algorithm suitable for the HQD of enterprises. In the process of algorithm design, this article focuses on data collection and processing, comprehensively considering multiple dimensions such as the financial indicators, market performance, and innovation ability of the enterprise. By constructing a mathematical model and setting key parameters, the various components of the algorithm were successfully implemented and verified through simulation experiments. The results show that the algorithm exhibits good performance in accuracy, stability, and efficiency and can provide timely and accurate assessment results and targeted improvement suggestions for enterprises. This not only helps enterprises understand their own development status in a timely manner and formulate and adjust development strategies but also provides new ideas and methods for research in related fields. © 2024 U-turn Press LLC,.

引用

页码：84 / 100

页数：16

共 18 条

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