Sciweavers

68 search results - page 2 / 14
» Learning grammatical structure with Echo State Networks
Sort
View
IJCNN
2006
IEEE
14 years 1 months ago
Reservoir-based techniques for speech recognition
— A solution for the slow convergence of most learning rules for Recurrent Neural Networks (RNN) has been proposed under the terms Liquid State Machines (LSM) and Echo State Netw...
David Verstraeten, Benjamin Schrauwen, Dirk Stroob...
IJCNN
2006
IEEE
14 years 1 months ago
Complex Systems Modeling Using Scale-Free Highly-Clustered Echo State Network
— Inspired by the universal laws governing different kinds of complex networks, we propose a scale-free highlyclustered echo state network (SHESN). Different from echo state netw...
Zhidong Deng, Yi Zhang
AE
2007
Springer
14 years 1 months ago
Unsupervised Learning of Echo State Networks: A Case Study in Artificial Embryogeny
Alexandre Devert, Nicolas Bredeche, Marc Schoenaue...
TNN
2011
129views more  TNN 2011»
13 years 2 months ago
Minimum Complexity Echo State Network
—Reservoir computing (RC) refers to a new class of state-space models with a fixed state transition structure (the “reservoir”) and an adaptable readout form the state space...
Ali Rodan, Peter Tino
ESANN
2003
13 years 9 months ago
On the weight dynamics of recurrent learning
We derive continuous-time batch and online versions of the recently introduced efficient O(N2 ) training algorithm of Atiya and Parlos [2000] for fully recurrent networks. A mathem...
Ulf D. Schiller, Jochen J. Steil