298 search results - page 14 / 60 » Optimizing number of hidden neurons in neural networks |
NN
2000
Springer
13 years 7 months ago
2000
Springer
The proper functioning of the nervous system depends critically on the intricate network of synaptic connections that are generated during the system development. During the netwo...
ESANN
2004
13 years 9 months ago
2004
Spiking neurons model a type of biological neural system where information is encoded with spike times. In this paper, a new method for decoding input spikes according to their abs...
ASAP
2009
IEEE
14 years 5 months ago
2009
IEEE
—Simulating spiking neural networks is of great interest to scientists wanting to model the functioning of the brain. However, large-scale models are expensive to simulate due to...
NECO
2006
13 years 7 months ago
2006
We study in this paper the effect of an unique initial stimulation on random recurrent networks of leaky integrate and fire neurons. Indeed given a stochastic connectivity this so...
ANNPR
2006
Springer
13 years 9 months ago
2006
Springer
Abstract. Recently, the authors described a training method for a convolutional neural network of threshold neurons. Hidden layers are trained by by clustering, in a feed-forward m...