加强决策框架,预测共享经济的未来趋势
Qiong Wu1, Xiaoxiao Tang1, Rongjie Li2
1School of Marxism, Wenzhou University, Wenzhou, China.
PloS one
|October 5, 2023
概括
本研究引入了一种增强的哈里斯·霍克优化 (HHO) 算法与K-Nearest Neighbor (KNN) 进行准确的共享经济趋势预测. 该SGHHO-KNN模型达到99.70%的准确性,为政策制定提供了宝贵的见解.
科学领域:
- 计算智能是一种计算智能.
- 经济预测 经济预测
- 数据科学数据科学数据科学
背景情况:
- 共享经济呈现出复杂的未来趋势,需要可靠的预测模型.
- 现有的优化算法经常受到局部优化和有限的全球搜索能力的影响.
- 准确的预测对于政府决策和共享经济领域的政策制定至关重要.
研究的目的:
- 为未来的共享经济趋势开发一个智能可靠的预测模型.
- 增强哈里斯优化 (HHO) 算法,以提高预测性能.
- 为决策者提供有关共享经济的可操作见解.
主要方法:
- 介绍了改进的哈里斯·霍克优化 (HHO) 算法,称为SGHHO,结合模拟和高斯裸骨策略.
- 使用SGHHO算法结合K-近邻 (KNN) 预测框架 (SGHHO-KNN) 的预测系统的开发.
- 使用SGHHO-KNN模型进行特征选择,以确定共享经济趋势的关键指标.
主要成果:
- 该SGHHO算法表现出优于原始HHO的性能,在96.7%的测试函数中表现优于它.
- 该SGHHO-KNN模型实现了99.70%的高预测准确度和99.38%的特异性.
- 确定的主要特征包括"你所在地区的共享经济形式"和"对共享经济的态度".
结论:
- SGHHO-KNN模型是预测共享经济趋势的高效和可靠工具.
- 增强的HHO算法显著提高了预测准确性,并克服了原始算法的局限性.
- 这些发现为政府机构和参与共享经济政策和发展的利益相关者提供了有价值的数据.
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