# pvlachas/RNN-RC-Chaos

<https://repo.masters-masters.com/en/repos/pvlachas/RNN-RC-Chaos>

[Home](https://repo.masters-masters.com/en) › [pvlachas](https://repo.masters-masters.com/en/owners/pvlachas) › [RNN-RC-Chaos](https://repo.masters-masters.com/en/repos/pvlachas/RNN-RC-Chaos)

pvlachas/RNN-RC-Chaos has 102 stars on GitHub. Its RepoMasters card: Prototype tier. RNN architectures trained with Backpropagation and Reservoir Computing…

| Field | Value |
| --- | --- |
| Owner | [pvlachas](https://repo.masters-masters.com/en/owners/pvlachas) |
| Stars | 102 |
| Forks | 38 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | rnn, rc, chaos, echo-state-networks, recurrent-neural-networks, kuramoto-sivashinsky, lorenz-96, lorenz-3d, reservoir-computing, reservoir-computer |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [pvlachas/RNN-RC-Chaos](https://github.com/pvlachas/RNN-RC-Chaos) |

## Repository

RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.