Risk Prediction of the Development of the Digital Economy Industry Based on a Machine Learning Model in the Context of Rural Revitalization

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Rui Luan, Ping Xu
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引用次数: 0

Abstract

In today's society, rural areas face challenges such as complex terrain and uneven population distribution, and infrastructure construction is exceptionally difficult. At the same time, poor information transmission and low communication efficiency have also become a major obstacle to the promotion of the digital economy in rural areas. This study aims to use gradient advancement models to identify potential risks in the growth of the digital economy sector related to rural revitalization. In this study, we used an enhanced hierarchical gradient boosting algorithm. The research results indicate that the introduction of this technology can provide us with a more comprehensive and reliable risk prediction model, thereby more scientifically assisting the development and decision-making of the digital economy in rural areas. This article provides a new perspective and solutions for development issues in rural areas, promoting sustainable development and economic growth in rural areas.
乡村振兴背景下基于机器学习模型的数字经济产业发展风险预测
当今社会,农村地区面临地形复杂、人口分布不均等挑战,基础设施建设异常艰难。同时,信息传输不畅、通信效率低下也成为农村地区推动数字经济发展的一大障碍。本研究旨在利用梯度推进模型,识别与乡村振兴相关的数字经济领域发展中的潜在风险。在这项研究中,我们使用了增强型分层梯度提升算法。研究结果表明,该技术的引入可以为我们提供更全面、更可靠的风险预测模型,从而更科学地辅助乡村数字经济的发展和决策。本文为农村地区的发展问题提供了新的视角和解决方案,促进了农村地区的可持续发展和经济增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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