基于GA-BP神经网络电商平台公司数据资产价值研究 -- 以拼多多为例
重庆理工大学, 经济金融学院, 重庆 401320
| 摘 要： | 随着物联网技术的飞速进步，数据已经变成了企业中最有价值的资产之一。因此，对数据资产进行合理有效地评估具有重要意义。但是，传统的资产数据评估手段确实有其固有的缺陷。为了解决这一问题，需要建立一套适合于大数据分析和数据挖掘的数据资产评估模型。研究通过对文献的深入探讨，提出了一个以拼多多电商平台为研究对象的基于逆向传播神经的算法。在此基础上，列出了7个会影响数据资产价值的核心指标，构建了一个GA-BP神经网络的评估模型。在对模型的结果进行深入分析后，发现该模型在评定数据资产的价值上展现出了卓越的精确度和高效性，为公司在数据资产的管理和决策过程中提供了坚实的科学支撑。 |
| 关 键 词： | 数据资产; 拼多多; GA-BP神经网络; 电商平台 |
| DOI： | 10.57237/j.wjeb.2024.02.003 |
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收稿日期: 2024-10-14
接受日期: 2024-11-19
在线出版日期: 2025-01-09
Research on the Value of Data Assets of Companies Based on GA-BP Neural Network E-commerce Platform — Take Pinduoduo as an Example
School of Economics and Finance, Chongqing University of Technology, Chongqing 401320, China
| Abstract: | With the rapid advancement of IoT technology, data has become one of the most valuable assets in a business. Therefore, it is important to have a reasonable and effective evaluation of data assets. However, traditional asset data valuation methods do have their inherent drawbacks. In order to solve this problem, it is necessary to establish a set of data asset evaluation models suitable for big data analysis and data mining. Through an in-depth discussion of the literature, this paper proposes an algorithm based on reverse propagation nerves based on Pinduoduo e-commerce platform. On this basis, 7 core indicators that will affect the value of data assets are listed, and an evaluation model of GA-BP neural network is constructed. After in-depth analysis of the results of the model, it is found that the model shows excellent accuracy and efficiency in evaluating the value of data assets, which provides solid scientific support for the company in the management and decision-making process of data assets. |
| Keywords: | Data Assets; Pinduoduo; GA-BP Neural Network; E-commerce Platforms |
基金
| 1. | 重庆理工大学研究生创新项目资助 (基金号: gzlcx20233269) |
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