基于事件的架构和智能决策树促进了可持续贸易活动监测模型的设计
Yixian Wen1, Suo Zhang2, Sisi Zhang1
1School of Business, Hunan Institute of Technology, Hengyang, Hunan, China.
PloS one
|September 4, 2025
概括
这项研究引入了一个可持续的贸易监测模型,使用事件驱动架构和决策树来有效地分配资源. 这一创新框架提高了运营效率,并确保了贸易活动的无监督.
科学领域:
- * 可持续贸易监测
- * 事件驱动架构
- * 智能决策树
背景情况:
- 传统的贸易监测与动态的市场条件作斗争.
- * 需要具有适应性和高效的监测框架.
- * 实时数据流的资源分配受到限制.
研究的目的:
- 引入一个新的可持续贸易监测模式.
- * 提高贸易活动监督的适应性和效率.
- * 优化资源分配和运营效率
主要方法:
- * 整合事件驱动架构和智能决策树.
- * 制定数据注入和处理对齐的规则.
- 使用动态编程实现最佳的二进制树决策算法.
- 智能代理对资源状态进行实时评估.
主要成果:
- * 提高数据积累效率 (平均 15.46) 进行调查.
- * 处理延迟时间减少了14.67%.
- * 平均资源利用率上升至60.29%.
- 实现了336.5Mbps的吞吐量.
结论:
- * 模型在关键监测指标上表现出卓越的表现.
- * 能够快速应对市场波动并减少能源消耗.
- * 为了贸易连续性,平衡经济收益与环境保护.
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