36 search results - page 1 / 8 » Signal processing and neural network models for economic tim... |
EUSFLAT
2003
13 years 6 months ago
2003
ICA
2010
Springer
13 years 3 months ago
2010
Springer
One potential strength of recurrent neural networks (RNNs) is their – theoretical – ability to find a connection between cause and consequence in time series in an constraint-...
NPL
2011
12 years 7 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...
ICANN
2010
Springer
13 years 2 months ago
2010
Springer
Accurate time series forecasting are important for several business, research, and application of engineering systems. Evolutionary Neural Networks are particularly appealing becau...
NIPS
2000
13 years 6 months ago
2000
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....