36 search results - page 1 / 8 » Signal processing and neural network models for economic tim... |
EUSFLAT
2003
14 years 11 months ago
2003
70
Voted
ICA
2010
Springer
14 years 8 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-...
136
Voted
NPL
2011
14 years 14 days 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...
119
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ICANN
2010
Springer
14 years 7 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
14 years 11 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....