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Reservoir computing

Reservoir computing is a framework for computation that may be viewed as an extension of neural networks.Typically an input signal is fed into a… 
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Related topics

Related topics

7 relations
Deep learningDynamical systemEcho state networkLiquid state machine

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Risk bounds for reservoir computing
We analyze the practices of reservoir computing in the framework of statistical learning theory. In particular, we derive finite… 
Highly Cited
2018
Highly Cited
2018
Reservoir computing with dipole-coupled nanomagnets
The feasibility of reservoir computing based on dipole-coupled nanomagnets is demonstrated using micro-magnetic simulations at 0… 
2017
2017
Reservoir Computing as a Model for In-Materio Computing
Research in substrate-based computing has shown that materials contain rich properties that can be exploited to solve… 
Highly Cited
2012
Highly Cited
2012
Memristor-based reservoir computing
As feature-size scaling and “Moore's Law” in integrated CMOS circuits further slows down, attention is shifting to computing by… 
2009
2009
Genetic algorithm for reservoir computing optimization
This paper presents reservoir computing optimization using Genetic Algorithm. Reservoir Computing is a new paradigm for using… 
Highly Cited
2007
Highly Cited
2007
The Introduction of Time-Scales in Reservoir Computing, Applied to Isolated Digits Recognition
Reservoir Computing (RC) is a recent research area, in which a untrained recurrent network of nodes is used for the recognition… 
Highly Cited
2004
Highly Cited
2004
Factors controlling prolific gas production from low-permeability sandstone reservoirs: Implications for resource assessment, prospect development, and risk analysis
Low-permeability reservoirs from the Greater Green River basin of southwest Wyoming are not part of a continuous-type gas… 
Review
2001
Review
2001
Probability and Random Processes with Applications to Signal Processing
  • 2001
  • Corpus ID: 116981111
(NOTE: Each chapter concludes with a Summary, Problems, and References.) 1. Introduction to Probability. Introduction: Why Study… 
Highly Cited
1990
Highly Cited
1990
Wettability and Its Effect on Oil Recovery
wide acceptance of the conclusion that most reservoirs are at wettability conditions other than VSWW. This conclusion has led to… 
Highly Cited
1986
Highly Cited
1986
Fractal Distributions of Reservoir Heterogeneity and Their Influence on Fluid Transport
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