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تحليل الكسور (Fractal Analysis)×تحليل تكرار الكم (RQA)×
المجالالأنظمة المعقدةالأنظمة المعقدة
العائلةMachine learningMachine learning
سنة النشأة19832007
صاحب الطريقةBenoit MandelbrotMarwan, Romano, Thiel & Kurths
النوعGeometric complexity quantificationNonlinear time-series characterization
المصدر التأسيسيMandelbrot, B. B. (1983). The Fractal Geometry of Nature. W. H. Freeman. ISBN: 978-0-7167-1186-5Marwan, N., Romano, M. C., Thiel, M., & Kurths, J. (2007). Recurrence plots for the analysis of complex systems. Physics Reports, 438(5–6), 237–329. DOI ↗
الأسماء البديلةBox-Counting Analysis, Fractal Dimension Estimation, Multifractal Analysis, Fraktal AnalizRQA, Recurrence Plot Analysis, Nonlinear Recurrence Analysis, Tekrarlama Kantifikasyon Analizi
ذات صلة22
الملخصFractal Analysis quantifies the self-similar, scale-invariant complexity of geometric objects and time series through the fractal dimension D and the Hurst exponent H. Introduced systematically by Benoit Mandelbrot in his 1983 landmark work, the framework extends classical Euclidean geometry to irregular shapes found in nature, finance, physiology, and materials science. It provides a single dimensionless index that captures how completely a pattern fills space across multiple scales.Recurrence Quantification Analysis (RQA) is a nonlinear method for characterizing the dynamics of a time series by quantifying the small-scale structure of its recurrence plot. Introduced in its modern, comprehensive form by Marwan, Romano, Thiel, and Kurths in 2007, RQA extracts scalar measures — such as recurrence rate, determinism, laminarity, and Shannon entropy — that capture periodicity, chaos, stationarity, and transitions in complex dynamical systems.
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ScholarGateقارن الطرق: Fractal Analysis · Recurrence Quantification Analysis. استُرجع بتاريخ 2026-06-15 من https://scholargate.app/ar/compare