基于机器学习算法的Web3.0现状以及前景预测的研究

A study of Web3.0 status and prospect prediction based on machine learning algorithms

考虑到浙江省创新度始终排名前列,因此以浙江省居民为研究对象。通过问卷调查和访谈的方式,基于机器学习算法(多元线性回归模型、K⁃means聚类分析和灰色关联分析),进行Java语言编程,对Web3.0现状及前景进行预测及分析,并将结果以可视化方式呈现。得到结论如下:①Web3.0产品繁杂且缺乏法律规范;②Web3.0处于发展前沿,但仅少数年轻人群对其高度关注;③Web3.0的发展前景在于吸引更多参与者,以智能化、数字资产、创业机会等要素为核心进行多元化创新发展。

Considering that the innovation degree of Zhejiang Province is always ranked at the top,the residents of Zhejiang Province are taken as the research object.Through questionnaires and interviews,based on machine learning algorithms(multiple linear regression model,K‑means clustering analysis and grey correlation analysis),Java language programming,we predicted and analyzed the current situation and prospects of Web3.0,and presented the results in a visual way.The conclusions are obtained as follows:①Web3.0 products are complicated and lack of legal regulation;②Web3.0 is at the forefront of development,but only a few young people groups pay high attention to it;③The development prospect of Web3.0 lies in attracting more participants to diversify and innovate with the core of elements such as intelligence,digital assets and entrepreneurial opportunities.