使用优化的灰色N_Verhulst模型预测重庆农村移徙工人数量
Dai Liu1,2, Chengxiang He2, Jianlong Ma3
1Institute of Chengdu-Chongqing Economic Zone Development, Chongqing Technology and Business University, Chongqing, China.
Scientific reports
|January 28, 2025
概括
本研究引入了一种优化的灰色预测模型,用于预测重庆的移民工人数量. 改进后的模型显著提高了预测准确度,预测移民劳动力的稳定增长.
科学领域:
- *灰色系统理论 *灰色系统理论
- * 时间序列分析.
- * 人口动态情况.
背景情况:
- *准确预测移徙工人数量对于应对农村人才供应挑战至关重要.
- * 传统的预测模型在捕获复杂的S型时间序列数据方面可能存在局限性.
- *重庆的移民工人数据显示出适合灰色预测的进化模式.
研究的目的:
- * 开发一种新的灰色预测模型,用于预测移徙工人人口.
- *通过引入分数顺序运算符来优化传统的N-Verhulst模型.
- * 提高模拟和预测重庆移工人数的准确性.
主要方法:
- * 构建一个新的灰色预测模型,包含分数顺序运算符.
- *优化N-Verhulst模型的积累顺序,以覆盖所有实数.
- * 应用优化模型来模拟和预测重庆的移工数据.
主要成果:
- *优化的N-Verhulst模型显示了较低的平均相对模拟百分比误差 (3.66%至2.93%).
- *平均相对预测误差百分比显著下降 (8.02%至2.18%).
- *综合平均相对百分比误差从4.53%提高到2.78%.
结论:
- * 分数级灰色预测模型显著提高了模拟和预测性能.
- *预计重庆的移民工人数量将有序增长,到2028年将达到285万.
- *这些发现为农村人才供应管理和决策提供了有价值的参考资料.
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