143 search results - page 6 / 29 » Trend Time-Series Modeling and Forecasting With Neural Netwo... |
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— We consider the regression problem for financial time series. Typically, financial time series are non-stationary and volatile in nature. Because of its good generalization p...
FLAIRS
2004
13 years 9 months ago
2004
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
FLAIRS
2009
13 years 5 months ago
2009
Time series are found widely in engineering and science. We study multiagent forecasting in time series, drawing from literature on time series, graphical models, and multiagent s...
IJCSA
2006
13 years 7 months ago
2006
Artificial Neural Networks are universal and highly flexible function approximators first used in the fields of cognitive science and engineering. In recent years, Neural Networks...
EWSN
2006
Springer
14 years 7 months ago
2006
Springer
In this paper, we present a method for approximating the values of sensors in a wireless sensor network based on time series forecasting. More specifically, our approach relies on ...