Name
Abstract | ||
|---|---|---|
In this paper, we elaborate over the well-known interpretability issue in echo-state networks (ESNs). The idea is to investigate the dynamics of reservoir neurons with time-series analysis techniques developed in complex systems research. Notably, we analyze time series of neuron activations with recurrence plots (RPs) and recurrence quantification analysis (RQA), which permit to visualize and cha... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TNNLS.2016.2630802 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Reservoirs,Neurons,Stability analysis,Visualization,Time series analysis,Jacobian matrices,Trajectory | Diagonal,Complex system,Time series,Jacobian matrix and determinant,Computer science,Artificial intelligence,Recurrence quantification analysis,Lyapunov exponent,Interpretability,Pattern recognition,Algorithm,Dynamical systems theory,Calculus | Journal |
Volume | Issue | ISSN |
29 | 2 | 2162-237X |
Citations | PageRank | References |
8 | 0.44 | 22 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Filippo Maria Bianchi | 1 | 160 | 15.76 |
| Lorenzo Livi | 2 | 304 | 25.67 |
| Cesare Alippi | 3 | 1040 | 115.84 |