chaotic time series data
Forecasting Chaotic Stock Market Data using Time Series Data Mining
... of data mining, SVM and Neural network, to forecast the direction of stock index price based on economic ...on data property and its algorithm results global optimal solution which is ...the chaotic ...
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The Automatic Model Selection and Variable Width RBF Neural Networks for Chaotic Time Series Prediction
... The effect of noise on the performance of the new algorithms was analyzed by adding different levels of Gaussian white noise to the training patterns. To do such experiment, the training sets corrupted by the noise ...
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Development of new analytical techniques for chaotic time series
... 2.5). Data are taken from the works available in the scientific literature, or computed by means of the techniques developed in this ...our data, highlighted in bold, were evaluated from a time ...
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Implementation of Chaotic Analysis on River Discharge Time Series
... on chaotic analysis in the physics, many researchers have been inspired by the new developments in chaos ...A chaotic system is defined as a deterministic system, in which small changes in the initial ...
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Characterizing the structure of nonlinear systems using gradual wavelet reconstruction
... surrogate data methods for testing hypotheses concerning nonlinearity in time-series data are extended using a wavelet-based ...Surrogate data are generated along this continuum with ...
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Meta-learning for time series forecasting and forecast combination
... Some time series characteristics that lead to good re- sults in previous work did not seem to be significant for the time series and methods used ...given data set include that ...
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Application of particle swarm optimization with ANFIS model for double scroll chaotic system
... a chaotic system from noisy observations is very hard. Noisy data could be contaminated from different types of ...on chaotic time series prediction has been barely considered [19] to ...
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The Appropriate Use of Approximate Entropy and Sample Entropy with Short Data Sets
... periodic time series was calculated, for all other combinations of ...from chaotic time series, white noise time series, step length, step width and step time for ...
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Determining the Chaotic Dynamics of Hydrological Data in Flood Prone Area
... flow time series that are hydrological data from Sungai Galas are used in the ...[10]. Time series data were taken from 2 stations which were (1) station 5320038 (rainfall ...
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SVD analysis of the magnetospheric AE index time series and comparison with low-dimensional chaotic dynamics
... dimensional chaotic dynamics contained in aperiodic time series from the stochastic high dimensional time series (non- chaotic and aperiodic time series) which can ...
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Chaotic Statistical Downscaling (CSD): Application and Comparison in the Bogotá River Basin
... in time series has been developed in different study areas, being widely used in forecasts of time series and estimation of missing data as presented in (Gallego, 2010) and (Siek, ...
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Chaos and Time Series Analysis: Optimization of the Poincaré Section and distinguishing between deterministic and stochastic time series
... between chaotic and stochastic times series by the qualitative pattern produced in the P&H ...that chaotic time series produce increasing and decreasing jagged peaks, whereas ...
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Modelling and control of chaotic processes through their Bifurcation Diagrams generated with the help of Recurrent Neural Network models: Part 1—simulation studies
... a chaotic RNN model with a short data series or data sets having been demon- strated, it becomes important to study the effect of noise on the input parameters, observed ...
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Analysis of chaotic multi-variate time-series from spatio-temporal dynamical systems
... of chaotic multi-variate time-series from spatio- tem poral dynamical systems ...analyse data from STS in situations where little is known about the system generating the ...the chaotic ...
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Analysis of chaotic characteristics of the yellow river runoff
... runoff series in Lanzhou, Sanmenxia and Huayuankou station are shown in table ...The chaotic characteristics of measured runoff have slightly stronger than that of natural runoff at the same hydrologic ...
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Modelling and control of chaotic processes through their Bifurcation Diagrams generated with the help of Recurrent Neural Network models: Part 1—simulation studies
... a chaotic RNN model with a short data series or data sets having been demonstrated, it becomes important to study the effect of noise on the input parameters, observed ...
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RECENT DEVELOPMENTS IN CHAOTIC TIME SERIES ANALYSIS
... the data are left un- treated, the spline fittings will introduce large per- turbations into the data which can propagate and eventually corrupt the ...the data to be sifted and the thick solid line ...
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Nonlinearity In Exchange Rates and Forecasting
... The time series models are developed mainly for dynamic analysis and ...rates. Time series models, however, are often criticized because of their atheoretical approach in modeling economic ...
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Time series clustering in large data sets
... on time series: prediction and classifi cation / cluster- ...of time series, subjectivity of simi- larity of time series, data handling problems: sample rates, data ...
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Testing for unit roots in time series data
... alternative methods for testing a single unit root in a general time series... k large and for n.[r] ...
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