Abstract:
In many business applications, accurate short term
prediction is vital for survival. Many different techniques have
been applied to model business data in order to produce accurate
prediction. Artificial neural network (ANN) have shown excellent
potential however it requires better extrapolation capacity in
order to provide reliable prediction. In this paper, a combination
of piecewise linear regression model in parallel with general
regression neural network is introduced for short term financial
prediction. The experiment shows that the propwed hybrid
model achieves superior prediction performance compared lo
the conventional prediction techniqufs such as the MultiLayer
Perceptron (MLP) or Volterra series based prediction.
