143 search results - page 1 / 29 » Trend Time-Series Modeling and Forecasting With Neural Netwo... |
TNN
2008
13 years 4 months ago
2008
Abstract--Despite its great importance, there has been no general consensus on how to model the trends in time
IJIT
2004
13 years 6 months ago
2004
This paper deals with the application of a well-known neural network technique, multi-layer back-propagation (BP) neural network, in financial data mining. A modified neural networ...
ICANN
2010
Springer
13 years 2 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...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
— Forecasting the tide level in the Venezia lagoon is a very compelling task. In this work we propose a new approach to the learning of tide level time series based on the local ...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...