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Chattopadhyay et al., 2020 - Google Patents

Data-driven predictions of a multiscale Lorenz 96 chaotic system using machine-learning methods: reservoir computing, artificial neural network, and long short-term …

Chattopadhyay et al., 2020

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Document ID
1604214492579235777
Author
Chattopadhyay A
Hassanzadeh P
Subramanian D
Publication year
Publication venue
Nonlinear Processes in Geophysics

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In this paper, the performance of three machine-learning methods for predicting short-term evolution and for reproducing the long-term statistics of a multiscale spatiotemporal Lorenz 96 system is examined. The methods are an echo state network (ESN, which is a type of …
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