120 search results - page 21 / 24 » A Recurrent Neural Network that Learns to Count |
81
Voted
NN
2008
Springer
14 years 11 months ago
2008
Springer
Reservoir Computing (RC) techniques use a fixed (usually randomly created) recurrent neural network, or more generally any dynamic system, which operates at the edge of stability,...
87
Voted
NN
2007
Springer
14 years 10 months ago
2007
Springer
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
82
Voted
NPL
2000
14 years 10 months ago
2000
This paper explores internal representation power of product units [1] that act as the functional nodes in the hidden layer of a multi-layer feedforward network. Interesting proper...
NIPS
2001
15 years 8 days ago
2001
This article presents a 2-phase computational learning model and application. As a demonstration, a system has been built, called CHIME for Computer Human Interacting Musical Enti...
99
Voted
MICAI
2004
Springer
15 years 4 months ago
2004
Springer
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...