Tag: Delayed Henon Map
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Modelling Chaotic Systems using Support Vector Regression and Python
Support Vector Regression is a technique in machine learning that can be used to model chaotic data. A program is shown to work on Delayed Henon Map data.
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Modelling Sensitivity using Neural Networks
Artificial neural networks can be applied to the delayed Henon map and shown to replicate the sensitivities of the map surprisingly well.
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Inverted Delayed Henon Map
Inverting the delayed Henon map yields a repellor whose sensitivities can be explored.
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Delayed Henon Map Sensitivities
Partial derivatives can be used to explore how sensitive the output of a function is to perturbations in each of the time lags.