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Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data

Research article (Chaos An Interdisciplinary Journal of Nonlinear Science, 2017) · cited 615× · AI/ML
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Summary

Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data is a scholarly article[1].

Key Facts

  • Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data. Retrieved October 17, 2026, from https://4ort.xyz/entity/using-machine-learning-to-replicate-chaotic-attractors-and-calculate-lyapunov-exponents-from-data
MLA “Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 17 Oct. 2026, https://4ort.xyz/entity/using-machine-learning-to-replicate-chaotic-attractors-and-calculate-lyapunov-exponents-from-data.
BibTeX @misc{4ortxyz_using-machine-learning-to-replicate-chaotic-attractors-and-calculate-lyapunov-exponents-from-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data}}, year = {2026}, url = {https://4ort.xyz/entity/using-machine-learning-to-replicate-chaotic-attractors-and-calculate-lyapunov-exponents-from-data}, note = {Accessed: 2026-10-17}}
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