TISEAN package: Difference between revisions

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137 bytes added ,  2 June 2015
m
→‎False Nearest Neighbors: added a little more info
(→‎Tutorials: Added False Nearest Neighbors)
m (→‎False Nearest Neighbors: added a little more info)
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       dim_hen_noisy, frac_hen_noisy, '-gx', 'markersize', 15);
       dim_hen_noisy, frac_hen_noisy, '-gx', 'markersize', 15);
</syntaxhighlight>}}
</syntaxhighlight>}}
From this chart we can conclude the sufficient embedding dimension for each system. For a Henon Map {{Codeline|m &#61; 2}} is sufficient, but for an Ikeda map it is better to use {{Codeline|m &#61; 3}}.
The {{Codeline|dim_*}} variables hold the dimension so here 1:5, and {{Codeline|frac_*}} contain the fraction of false nearest neighbors. From this chart we can obtain the sufficient embedding dimension for each system. For a Henon Map {{Codeline|m &#61; 2}} is sufficient, but for an Ikeda map it is better to use {{Codeline|m &#61; 3}}.
 
=== Nonlinear Prediction ===
=== Nonlinear Prediction ===
In this section we will demonstrate some functions from the 'Nonlinear Prediction' chapter of the TISEAN documentation (located [http://www.mpipks-dresden.mpg.de/~tisean/Tisean_3.0.1/docs/chaospaper/node16.html#SECTION00050000000000000000 here]). For now this section will only demonstrate functions that are connected to the [http://www.mpipks-dresden.mpg.de/~tisean/Tisean_3.0.1/docs/chaospaper/node18.html#SECTION00052000000000000000 Simple Nonlinear Prediction] section. <br/>
In this section we will demonstrate some functions from the 'Nonlinear Prediction' chapter of the TISEAN documentation (located [http://www.mpipks-dresden.mpg.de/~tisean/Tisean_3.0.1/docs/chaospaper/node16.html#SECTION00050000000000000000 here]). For now this section will only demonstrate functions that are connected to the [http://www.mpipks-dresden.mpg.de/~tisean/Tisean_3.0.1/docs/chaospaper/node18.html#SECTION00052000000000000000 Simple Nonlinear Prediction] section. <br/>
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