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reservoirnet  

Reservoir Computing and Echo State Networks
View on CRAN: Click here


Download and install reservoirnet package within the R console
Install from CRAN:
install.packages("reservoirnet")

Install from Github:
library("remotes")
install_github("cran/reservoirnet")

Install by package version:
library("remotes")
install_version("reservoirnet", "0.2.0")



Attach the package and use:
library("reservoirnet")
Maintained by
Thomas Ferte
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-04
Latest Update: 2023-04-04
Description:
A simple user-friendly library based on the 'python' module 'reservoirpy'. It provides a flexible interface to implement efficient Reservoir Computing (RC) architectures with a particular focus on Echo State Networks (ESN). Some of its features are: offline and online training, parallel implementation, sparse matrix computation, fast spectral initialization, advanced learning rules (e.g. Intrinsic Plasticity) etc. It also makes possible to easily create complex architectures with multiple reservoirs (e.g. deep reservoirs), readouts, and complex feedback loops. Moreover, graphical tools are included to easily explore hyperparameters. Finally, it includes several tutorials exploring time series forecasting, classification and hyperparameter tuning. For more information about 'reservoirpy', please see Trouvain et al. (2020) <doi:10.1007/978-3-030-61616-8_40>. This package was developed in the framework of the University of Bordeaux’s IdEx "Investments for the Future" program / RRI PHDS.
How to cite:
Thomas Ferte (2023). reservoirnet: Reservoir Computing and Echo State Networks. R package version 0.2.0, https://cran.r-project.org/web/packages/reservoirnet
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