# Design of a Time Delay Reservoir Using Stochastic Logic: A Feasibility   Study

**Authors:** Cory Merkel

arXiv: 1702.04265 · 2017-02-15

## TL;DR

This study explores a stochastic logic time delay reservoir design, analyzing its performance and robustness, and introduces a re-seeding method to mitigate stochastic noise effects, demonstrating promising results on classification tasks.

## Contribution

It introduces a novel stochastic logic reservoir design with a re-seeding method to improve noise robustness, and compares its performance to deterministic counterparts.

## Key findings

- Performs well on noise-tolerant classification problems
- Re-seeding reduces adverse effects of stochastic noise
- Further work needed to enhance robustness for regression tasks

## Abstract

This paper presents a stochastic logic time delay reservoir design. The reservoir is analyzed using a number of metrics, such as kernel quality, generalization rank, performance on simple benchmarks, and is also compared to a deterministic design. A novel re-seeding method is introduced to reduce the adverse effects of stochastic noise, which may also be implemented in other stochastic logic reservoir computing designs, such as echo state networks. Benchmark results indicate that the proposed design performs well on noise-tolerant classification problems, but more work needs to be done to improve the stochastic logic time delay reservoir's robustness for regression problems.

## Full text

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## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/1702.04265/full.md

## References

21 references — full list in the complete paper: https://tomesphere.com/paper/1702.04265/full.md

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Source: https://tomesphere.com/paper/1702.04265