"Data-driven prediction of a multi-scale Lorenz 96 chaotic system using a ..."

Ashesh Chattopadhyay et al. (2019)

> Home

Details and statistics

DOI: —

access: open

type: Informal or Other Publication

metadata version: 2019-07-19

- view
  - electronic edition @ arxiv.org (open access)
- export record
  dblp key:
  - journals/corr/abs-1906-08829
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1906-08829
Ashesh Chattopadhyay, Pedram Hassanzadeh, Krishna V. Palem, Devika Subramanian:
Data-driven prediction of a multi-scale Lorenz 96 chaotic system using a hierarchy of deep learning methods: Reservoir computing, ANN, and RNN-LSTM. CoRR abs/1906.08829 (2019)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.