江汉大学学报(自然科学版) ›› 2019, Vol. 47 ›› Issue (3): 231-238.doi: 10.16389/j.cnki.cn42-1737/n.2019.03.007

• 数学 • 上一篇    下一篇

基于数学模型的我国动漫行业总年产值影响因素的实证分析

李文鸿,李眉茵   

  1. 北方工业大学 理学院,北京 100144
  • 出版日期:2019-06-28 发布日期:2019-05-29
  • 作者简介:李文鸿(1979—),女,讲师,博士,研究方向:经济统计学。

An Empirical Analysis of Factors Affecting Total Annual Output Value of China′s Animation Industry Based on Mathematical Model

LI Wenhong,LI Meiyin   

  1. College of Sciences,North China University of Technology,Beijing 100144,China
  • Online:2019-06-28 Published:2019-05-29

摘要: 从文化、市场、技术、经济4个方面构建了影响动漫行业总年产值的指标体系,利用灰色关联度和神经网络模型分析了各个指标因素与动漫行业总年产值的关系。对两个模型的结果进行比较后得出,灰色关联度分析更能说明各个指标的重要性,其中我国自主研发网络收入对动漫行业总年产值影响最大。最后从4个方面给出我国动漫行业未来的发展重点以及相关建议。

关键词: 动漫行业, 总年产值, 灰色关联度分析, 神经网络模型, 自主研发网络收入

Abstract: In this paper,the index system affecting total annual output value of animation industry was constructed from four levels. The author used two models(gray correlation degree and neural network)to analyze the relationship between each index factor and total annual output value of China′s animation industry. The results of the two models were compared,and the main conclusions were that the analysis of gray correlation degree could better illustrate the importance of each index,and among them,the income of network researched and developed in China mostly affected the total annual output value of animation industry. Finally,the author gave out the future development key points and related suggestions on China′ s animation industry from four levels including economy,culture, market and technology.

Key words: animation industry, total annual output value, grey correlation degree analysis, neural network model, independent research and development network income

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