混沌理论和相空间重构理论（Phase Space Reconstruction Theory, PSRT）为电力系统的负荷预测开辟了新途径，它揭示了负荷时间序列由于内部非线性作用而产生的某种类似随机现象的错...
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A new method of outlier detection in time series is proposed in this paper, which is based on phase space reconstruction theory and one-class classification method.
论文结合相空间重构理论与一类分类方法提出一种时间序列中的异常值检测方法。
Also, by using the reconstruction phase space theory, the time sequence of accidents was analyzed and predicted.
应用重构相空间理论对安全事故次数的时间序列进行了分析和预测。
Analyzing the change laws of distance in phase space to deformation in backfill, a prediction model is built based on phase space reconstruction with gray theory.
用灰色理论研究充填体变形在相空间中相点距离的演变规律，建立了重构相空间的灰色预测模型。
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