本研究针对股票市场预测的复杂性和非线性特点，提出了一种基于延迟二元时间序列模式（delayed binary time-series patterns）和XNOR逻辑运算的机器学习技术。通过分析历史股价数据，研究人员构建了结构化时间窗口矩阵，并利用决策树（DT）、随机森林（RF）和长短期 ...

Time series forecasts are used to predict a future value or a classification at a particular point in time. Here’s a brief overview of their common uses and how they are developed. Industries from ...

We suggest that the conscious use of information that is "hidden" in distinct structures in nature itself and in data extracted from nature (= pattern) during the process of modeling (= ...