35 search results - page 2 / 7 » Dynamics of Learning in Recurrent Feature-Discovery Networks |
ESANN
2003
13 years 6 months ago
2003
In this paper fully connected RTRL neural networks are studied. In order to learn dynamical behaviours of linear-processes or to predict time series, an autonomous learning algori...
ESANN
2003
13 years 6 months ago
2003
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...
ICANN
2010
Springer
13 years 6 months ago
2010
Springer
We shed light on the key ingredients of reservoir computing and analyze the contribution of the network dynamics to the spatial encoding of inputs. Therefore, we introduce attracto...
BC
2002
13 years 5 months ago
2002
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
ECAL
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Artificial agents controlled by dynamic recurrent node networks with fixed weights are evolved to search for food and associate it with one of two different temperatur...