关于思想规律 - 一种量子式机器学习方法
Lizhi Xin1, Kevin Xin2, Houwen Xin3
1Independent Researcher, Hefei 230026, China.
Entropy (Basel, Switzerland)
|August 26, 2023
概括
这项研究引入了一种新的机器学习模型,灵感来自量子理论,以优化财务决策. 该模型成功开发了有利可图的策略,并验证了有效市场假设.
科学领域:
- 计算智能是一种计算智能.
- 量子启发的机器学习
- 金融计量经济学 金融计量经济学
背景情况:
- 传统的决策模式往往无法捕捉到复杂的市场动态.
- 优化财务战略需要先进的计算方法.
- 量子理论为复杂系统提供了独特的视角.
研究的目的:
- 开发一种基于机器学习的新型决策框架.
- 将这个框架应用于使用"机器经济学家"进行金融市场分析.
- 为了优化交易策略和测试市场效率.
主要方法:
- 一个机器学习模型,包含逻辑和价值树.
- 使用遗传编程算法优化树木.
- 适用于道斯指数时间序列数据.
主要成果:
- "机器经济学家"为利最大化创造了优化的战略.
- 该模型的分析为市场行为提供了洞察力.
- 发现了有效市场假设 (随机步行).
结论:
- 拟议的量子启发机器学习框架对于财务决策是有效的.
- 基因编程可以成功优化复杂的决策树.
- 该模型展示了利创造和市场假设测试的潜力.
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