**arXiv ID:** 1805.09244 **Authors:** Davide Bacciu, Andrea Bongiorno **Published:** 2018-05-23T15:58:57Z **Abstract:** The paper introduces concentric Echo State Network, an approach to design reservoir topologies that tries to bridge the gap between deterministically constructed simple cycle models and deep reservoir computing approaches. We show how to modularize the reservoir into simple unidirectional and concentric cycles with pairwise bidirectional jump connections between adjacent loo...
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# Concentric ESN: Assessing the Effect of Modularity in Cycle Reservoirs
**arXiv ID:** 1805.09244
**Authors:** Davide Bacciu, Andrea Bongiorno
**Published:** 2018-05-23T15:58:57Z
**Abstract:**
The paper introduces concentric Echo State Network, an approach to design reservoir topologies that tries to bridge the gap between deterministically constructed simple cycle models and deep reservoir computing approaches. We show how to modularize the reservoir into simple unidirectional and concentric cycles with pairwise bidirectional jump connections between adjacent loops. We provide a preliminary experimental assessment showing how concentric reservoirs yield to superior predictive accuracy and memory capacity with respect to single cycle reservoirs and deep reservoir models.
## Skill Description
This skill is generated from the arXiv paper: Concentric ESN: Assessing the Effect of Modularity in Cycle Reservoirs (1805.09244).
## How to Use
[To be filled in by the user or by future automation]
## References
- [arXiv:1805.09244](http://arxiv.org/abs/1805.09244v1)
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