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» Dynamical reservoir properties as network effects
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ESANN
2006
13 years 6 months ago
Dynamical reservoir properties as network effects
It has been proposed that chaos can serve as a reservoir providing an infinite number of dynamical states [1, 2, 3, 4, 5]. These can be interpreted as different behaviors, search a...
Carlos Lourenço
ESANN
2007
13 years 6 months ago
Intrinsic plasticity for reservoir learning algorithms
One of the most difficult problems in using dynamic reservoirs like echo state networks for signal processing is the choice of reservoir network parameters like connectivity or spe...
Marion Wardermann, Jochen J. Steil
ESANN
2007
13 years 6 months ago
Structured reservoir computing with spatiotemporal chaotic attractors
Abstract. We approach the themes “computing with chaos” and “reservoir computing” in a unified setting. Different neural architectures are mentioned which display chaotic...
Carlos Lourenço
IJCNN
2006
IEEE
13 years 10 months ago
Some stability properties of dynamic neural networks with different time-scales
Abstract— Dynamic neural networks with different timescales include the aspects of fast and slow phenomenons. Some applications require that the equilibrium points of these netwo...
Alejandro Cruz Sandoval, Wen Yu, Xiaoou Li
SOFSEM
2004
Springer
13 years 10 months ago
Approaches Based on Markovian Architectural Bias in Recurrent Neural Networks
Recent studies show that state-space dynamics of randomly initialized recurrent neural network (RNN) has interesting and potentially useful properties even without training. More p...
Matej Makula, Michal Cernanský, Lubica Benu...