71 search results - page 10 / 15 » Forecasting Sales Using Neural Networks |
ITNG
2010
IEEE
14 years 28 days ago
2010
IEEE
This paper demonstrates the feasibility and potential of applying empirical mode decomposition (EMD) to forecast the arrival time behaviors in a parallel batch system. An analysis...
ECIS
2000
13 years 9 months ago
2000
The aim of this study is to investigate the impact of various pre-processing models on the forecast capability of artificial neural network (ANN) when auditing financial accounts. ...
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...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— Probabilistic models were developed to provide predictive distributions of daily maximum surface level ozone concentrations. Five forecast models were compared at two stations ...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...