Results 11 to 20 of about 134,237 (204)
Modified MF-DFA Model Based on LSSVM Fitting
Fractal and FractionalThis paper proposes a multifractal least squares support vector machine detrended fluctuation analysis (MF-LSSVM-DFA) model. The system is an extension of the traditional MF-DFA model.
Minzhen Wang +5 more
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Identification of Active Gully Erosion Sites in the Loess Plateau of China Using MF-DFA [PDF]
Remote Sensing, 2020 Gullies of different scales and types have developed in the Loess Plateau, China. Differences in the amount of gully erosion influence the development, evolution, morphology, and spatial distribution of these gullies. The strengths of headward erosion on
Jianjun Cao +6 more
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Soft Fault Diagnosis of Analog Circuit Based on EEMD and Improved MF-DFA
Electronics, 2022 Aiming at the problems of nonlinearity and serious confusion of fault characteristics in analog circuits, this paper proposed a fault diagnosis method for an analog circuit based on ensemble empirical pattern decomposition (EEMD) and improved multifractal detrended fluctuations analysis (MF-DFA).
Lu, Xinmiao +7 more
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3D Detrended Fluctuation Analysis of Magnetic Field Attractor MF-DFA
3D Detrended Fluctuation Analysis of Magnetic Field Attractor MF-DFA We built a 3D attractor model for the analysis of the magnetic-angular correlation The result of the attractor analyses reveals an interesting three-dimensional map and very useful in multiple spheres of activity starting from the forecast of major solar magnetic events to Magnetic ...
Adrian Lavric
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A criterion for the determination of optimal scaling ranges in DFA and MF-DFA [PDF]
Physica A: Statistical Mechanics and its Applications, 2014 Abstract We develop a criterion based on a brute-force algorithm to systematically determine optimal fitting regions for fluctuation functions in Detrended Fluctuation Analysis (DFA) and Multifractal Detrended Fluctuation Analysis (MF-DFA). We analyze and compare results with several artificially generated time series with known parameters as ...
Gulich, Maximiliano Damián +1 more
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Fractal and Fractional, 2023 Due to the significant value that hotel reviews hold for both consumers and businesses, the development of an accurate sentiment classification method is crucial.
Sangjie Duanzhu, Jian Wang, Cairang Jia
doaj +2 more sources
Multifractal Analysis on the Return Series of Stock Markets Using MF-DFA Method [PDF]
, 2014 Analyzing the daily returns of NASDAQ Composite Index by using MF-DFA method has led to findings that the return series does not fit the normal distribution and its leptokurtic indicates that a single-scale index is insufficient to describe the stock price fluctuation. Furthermore, it is found that the long-term memory characteristics are a main source
Wanting Wang, Kecheng Liu, Zheng Qin
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Multifractal properties of elementary cellular automata in a discrete wavelet approach of MF-DFA [PDF]
EPL (Europhysics Letters), 2009 8 pages, 5 figures, 21 ...
Murguia, J. S. +2 more
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Are rare earth stocks efficient? Novel insights using asymmetric MF-DFA
Financial InnovationThis study investigates the weak-form efficiency and asymmetric multifractal scaling behavior of rare earth stock indices in the global, U.S. and Chinese markets during the trade war and the COVID-19 period. We examine the scaling behavior across overall,
Pengbo Wan +4 more
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Stability Analysis of the Left Bank Slope of Baihetan Hydropower Station Based on the MF-DFA Method
Advances in Civil Engineering, 2020 Based on the left bank slope of Baihetan hydropower station in Southwestern China, a high-precision microseismic monitoring system was established. An early warning model of surrounding rock mass deformation and failure based on MF-DFA was proposed.
Haoyu Mao, Min Zhang, Biao Li, Nuwen Xu
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