143 search results - page 9 / 29 » Trend Time-Series Modeling and Forecasting With Neural Netwo... |
ICA
2010
Springer
13 years 6 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-...
TNN
2010
13 years 2 months ago
2010
Soft computing (SC) emerged as an integrating framework for a number of techniques that could complement one another quite well (artificial neural networks, fuzzy systems, evolutio...
DMIN
2006
13 years 9 months ago
2006
- In this paper we propose a new methodology for Cost-Benefit analysis in a multiple time series prediction problem. The proposed model is evaluated in a real world application bas...
OR
2006
Springer
13 years 7 months ago
2006
Springer
In this paper, we review our work on a time series forecasting methodology based on the combination of unsupervised clustering and artificial neural networks. To address noise and...
NN
2010
Springer
13 years 6 months ago
2010
Springer
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...