143 search results - page 10 / 29 » Trend Time-Series Modeling and Forecasting With Neural Netwo... |
NPL
1998
13 years 7 months ago
1998
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...
WINE
2005
Springer
14 years 1 months ago
2005
Springer
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...
IDEAL
2004
Springer
14 years 1 months ago
2004
Springer
Many time series exhibit dynamics over vastly different time scales. The standard way to capture this behavior is to assume that the slow dynamics are a “trend”, to de-trend t...
ESANN
2008
13 years 9 months ago
2008
This paper presents a new approach for time series prediction using local dynamic modeling. The proposed method is composed of three blocks: a Time Delay Line that transforms the o...
ICANN
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. In this paper, we investigate the application of adaptive ensemble models of Extreme Learning Machines (ELMs) to the problem of one-step ahead prediction in (non)stationa...