# DeepESN

**Repository Path**: pengliustd/DeepESN

## Basic Information

- **Project Name**: DeepESN
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: BSD-3-Clause
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-12-24
- **Last Updated**: 2020-12-24

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Deep Echo State Network Python library (DeepESNpy), 2018

Deep Echo State Network (DeepESN) is an extension of the ESN model towards the deep learning paradigm (Deep Reservoir Computing). A DeepESN is a deep Recurrent Neural Network composed by a hierarchy of recurrent layers intrinsically able to develop hierarchical and distributed temporal features. Such characteristics make DeepESN suitable for time-series and sequences processing.

All details about DeepESN model are described in the reference paper (**CITATION REQUEST**): <br />
C. Gallicchio, A. Micheli, L. Pedrelli, <br />
["Deep Reservoir Computing: A Critical Experimental Analysis", Neurocomputing, 2017, vol. 268, pp. 87-99](https://www.sciencedirect.com/science/article/pii/S0925231217307567)

The design of DeepESN model in multivariate time-series prediction tasks is described in the following paper: <br />
C. Gallicchio, A. Micheli, L. Pedrelli, <br />
["Design of deep echo state networks", Neural Networks, 2018, vol. 108, pp. 33-47](https://www.sciencedirect.com/science/article/pii/S0893608018302223)


**AUTHOR INFORMATION**

Luca Pedrelli <br />
luca.pedrelli@di.unipi.it <br />
lucapedrelli@gmail.com

Department of Computer Science - University of Pisa (Italy) <br />
Computational Intelligence & Machine Learning (CIML) Group <br />
http://www.di.unipi.it/groups/ciml/