143 search results - page 14 / 29 » Trend Time-Series Modeling and Forecasting With Neural Netwo... |
ICANN
2009
Springer
14 years 8 days ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
IJCNN
2000
IEEE
14 years 1 days ago
2000
IEEE
This w orkshows how to train the activation function in neuro-wavelet parametric modeling and how this improves performance in a number of modeling, classi cation and forecasting.
SIGMETRICS
2012
ACM
11 years 10 months ago
2012
ACM
In a public cloud, bandwidth is traditionally priced in a pay-asyou-go model. Reflecting the recent trend of augmenting cloud computing with bandwidth guarantees, we consider a n...
ESANN
2007
13 years 9 months ago
2007
Since perceptual and motor processes in the brain are the result of interactions between neurons, layers and areas, a lot of attention has been directed towards the development of...
ICAPR
2001
Springer
14 years 4 days ago
2001
Springer
In this paper we propose a Neural Net-PMRS hybrid for forecasting time-series data. The neural network model uses the traditional MLP architecture and backpropagation method of tr...