140 search results - page 12 / 28 » Perspectives and challenges for recurrent neural network tra... |
IJCNN
2006
IEEE
14 years 1 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...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
NECO
2010
13 years 6 months ago
2010
Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...
ICANN
2003
Springer
14 years 27 days ago
2003
Springer
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
NN
2007
Springer
13 years 7 months ago
2007
Springer
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...