Echo state network

Known as: ESN 
The echo state network (ESN) is a recurrent neural network with a sparsely connected hidden layer (with typically 1% connectivity). The connectivity… (More)
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Highly Cited
2012
Highly Cited
2012
Reservoir computing has emerged in the last decade as an alternative to gradient descent methods for training recurrent neural… (More)
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2012
2012
Echo state networks (ESNs) constitute a novel approach to recurrent neural network (RNN) training, with an RNN (the reservoir… (More)
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2012
2012
This paper investigates the interaction between the driving output feedback and the internal reservoir dynamics in echo state… (More)
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Highly Cited
2011
Highly Cited
2011
Reservoir computing (RC) refers to a new class of state-space models with a fixed state transition structure (the reservoir) and… (More)
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Highly Cited
2007
Highly Cited
2007
The design of echo state network (ESN) parameters relies on the selection of the maximum eigenvalue of the linearized system… (More)
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Highly Cited
2007
Highly Cited
2007
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series… (More)
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Highly Cited
2007
Highly Cited
2007
Standard echo state networks (ESNs) are built from simple additive units with a sigmoid activation function. Here we investigate… (More)
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Highly Cited
2007
Highly Cited
2007
Building on some prior work, in this paper we describe a novel structure termed the decoupled echo state network (DESN) involving… (More)
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2006
2006
Echo State Networks (ESNs) is a recent simple and powerful approach to training recurrent neural networks (RNNs). In this report… (More)
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2005
2005
New method for modeling nonlinear systems called the echo state networks (ESNs) has been proposed recently by H. Jaeger and H… (More)
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