Bibliographic Details
| Title: |
A local Echo State Property through the largest Lyapunov exponent |
| Authors: |
Galtier, Mathieu, Wainrib, Gilles |
| Publication Year: |
2014 |
| Collection: |
Nonlinear Sciences |
| Subject Terms: |
Nonlinear Sciences - Chaotic Dynamics |
| More Details: |
Echo State Networks are efficient time-series predictors, which highly depend on the value of the spectral radius of the reservoir connectivity matrix. Based on recent results on the mean field theory of driven random recurrent neural networks, enabling the computation of the largest Lyapunov exponent of an ESN, we develop a cheap algorithm to establish a local and operational version of the Echo State Property. |
| Document Type: |
Working Paper |
| Access URL: |
http://arxiv.org/abs/1402.1619 |
| Accession Number: |
edsarx.1402.1619 |
| Database: |
arXiv |
