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A study on the statistical measurement of China's modernization based on the electric vehicle industry chain development

License: GNU General Public License v3.0

MATLAB 69.23% HTML 30.77%
deep-neural-networks electric-vehicles modernization sird-model statistical-analysis topsis-algorithm comparative-analysis math-modeling

2023-statisticalmodeling-project's Introduction

《基于电动汽车产业链发展的**式现代化统计测度的研究》

🌟 项目介绍

欢迎来到我们的项目仓库!本项目是我们在2023年5月参加的第九届全国大学生统计建模大赛中的参赛作品。我们的研究获得了三等奖,并于2023年8月在 CONF-BPS 会议 The 3rd International Conference on Business and Policy Studies 上成功提交并获得认可。

本研究旨在探索电动汽车产业链发展与**特色的绿色现代化之间的关系,并通过统计建模方法量化这种关系。

📜 摘要

我们的研究围绕着**社会主义现代化的基本特征,特别关注电动汽车产业链在实现**绿色现代化中的作用。研究分为三个部分:

  1. 省份现代化程度分析:利用PCA主成分分析和TOPSIS-熵权法对省份现代化程度进行评估。
  2. 国际比较研究:分析**在全球新能源汽车市场中的地位,通过出口量和市场占有率等指标进行比较。
  3. “2030碳达峰”承诺分析:使用改进的SIRD-NM动态模型和深度神经网络预测新能源汽车数量,探讨碳达峰承诺的实现可能性。

此外,我们还研究了新能源汽车普及率与国家鼓励政策之间的关系,并提出了合理的政策建议。

🛠️ 仓库内容

本仓库包含以下内容:

  • 竞赛论文:详细描述了我们的研究方法、数据分析、模型构建和结果。
  • 源代码:包括数据处理、模型训练和预测的完整代码。
  • 数据集:用于训练和测试模型的数据集。

注意,由于版权问题,本仓库不包含投稿 CONF-BPS 会议的正式论文版本,仅提供参加全国大学生统计建模大赛的论文版本。

🏆 成就

  • 第九届全国大学生统计建模大赛三等奖。
  • CONF-BPS 会议 The 3rd International Conference on Business and Policy Studies论文接受。

⚖️ 版权和引用

  • 本项目开源,旨在为学术和研究社区提供资源。
  • 如在研究中使用本仓库,请引用我们的论文:

引用格式: Liang, W., Guo, Y., & Liang, L. (2023, August). A study on the statistical measurement of China's modernization based on the electric vehicle industry chain development. In Proceedings of the 3rd International Conference on Business and Policy Studies.

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