522 search results - page 2 / 105 » Echo State Networks used for Motor Control |
ICA
2010
Springer
13 years 4 months ago
2010
Springer
One potential strength of recurrent neural networks (RNNs) is their – theoretical – ability to find a connection between cause and consequence in time series in an constraint-...
IJCNN
2006
IEEE
13 years 12 months ago
2006
IEEE
— 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...
NN
2007
Springer
13 years 5 months ago
2007
Springer
Building on some prior work, in this paper we describe a novel structure termed the decoupled echo state network (DESN) involving the use of lateral inhibition. Two low-complexity...
AR
2007
13 years 6 months ago
2007
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
IJCNN
2006
IEEE
13 years 12 months ago
2006
IEEE
— 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...