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, 2012; Jaeger, Maass, and Principe 2007)

Bibliography

  1. . . "Special Issue on Echo State Networks and Liquid State Machines". Neural Networks 20 (3):287–89.

  2. . . “Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication”. Science 304 (5667):78–80.

  3. . . “Long Short-Term Memory in Echo State Networks: Details of a Simulation Study”. Jacobs University Bremen.

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