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Volterra forecasting Toolbox
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In recent years, especially the analysis of nonlinear systems under chaotic background to produce a time series of increasingly popular t o people's attention. To determine the relationship between chaos and random phenomena between, is determined to push the existing model Canton, is the nature of the objective existence of an important class of forms. On the one hand, in a deterministic system, chaos Phenomenon makes very sensitive to initial conditions, a small disturbance changes will be amplified, resulting in unexpected The results, which makes long-term chaotic movement unpredictable nature: on the other hand, contains an ordered chaos, It differs from the random motion unable to control the trajectory of divergence but not strange attractor e
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Chaotic time series analysis and forecasting Toolkit
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Chaotic time series analysis and forecasting toolbox in recent years, especially for nonlinear systems arising under chaotic background Analysis of the time series more and more people's attention. Chaos in the relationship between the determined and random relationship between, Is determined to promote the existing model, is the nature of the objective existence of an important class of forms. On the one hand, a correct Qualitative system, chaotic phenomenon makes very sensitive to initial conditions, a small disturbance changes will be amplified, production Health unexpected results, which makes the chaotic movement of the long-term unpredictable nature: on the other hand, contains Chaos Orderly, and it is different from the random motion of no way
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