1173 search results - page 79 / 235 » Neural networks for computational neuroscience |
165
click to vote
ICANN
2007
Springer
15 years 10 months ago
2007
Springer
Forecasting Internet traffic is receiving an increasing attention from the computer networks domain. Indeed, by improving this task efficient traffic engineering and anomaly detect...
159
click to vote
PRL
1998
15 years 5 months ago
1998
Surprisingly simple local learning algorithms are known to outperform many other global non-linear machines. Unfortunately, these algorithms are computationally costly. A means of...
156
click to vote
SYNASC
2005
IEEE
15 years 11 months ago
2005
IEEE
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
160
click to vote
AMC
2008
15 years 6 months ago
2008
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
263
click to vote
NPL
2011
14 years 9 months ago
2011
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...