Echo-state networks

tags
Recurrent neural networks, Unsupervised learning
resources
Scholarpedia

Principle

An echo state network is usually a standard RNN with fixed random weights. The output from this RNN is used as a high dimensional feature map to be fed into a machine learning system.

(Jaeger 2004; Jaeger et al. 2007; Jaeger 2012)

Bibliography

  1. . . "Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication". Science 304 (5667):78–80. DOI.
  2. . . "Special Issue on Echo State Networks and Liquid State Machines". Neural Networks 20 (3):287–89. DOI.
  3. . . "Long Short-term Memory in Echo State Networks: Details of a Simulation Study". Jacobs University Bremen.

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