Neural Networks for Lorenz Map Prediction: A Trip Through Time
Machine Learning
2020-11-17 v5 Machine Learning
Abstract
In this article the Lorenz dynamical system is revived and revisited and the current state of the art results for one step ahead forecasting for the Lorenz trajectories are published. Multitask learning is shown to help learning the hard to learn z trajectory. The article is a reflection upon the evolution of neural networks with respect to the prediction performance on this canonical task.
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Cite
@article{arxiv.1903.07768,
title = {Neural Networks for Lorenz Map Prediction: A Trip Through Time},
author = {Denisa Roberts},
journal= {arXiv preprint arXiv:1903.07768},
year = {2020}
}
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