A Neural Network System for Forecasting Method Selection
Choosing an appropriate forecasting method is a crucial decision for most organizations, as the company's success is highly dependent on the accurate prediction of future. The decision, however, is not easy because many forecasting methods are available and the selection often requires extensive statistical knowledge, and personal judgment. In this paper, we illustrate how can a neural network approach be used to ease this task. We first examine the general technical issues (decisions) involved in designing neural network applications. A backpropagation-based forecasting prototype is then used to demonstrate how these decisions be determined in practice.
Neural networks, Forecasting method selection, Backpropagation, Exponential smoothing, Forecasting
Computer Sciences | Management Information Systems
Information Systems and Management
Decision Support Systems
CHU, Chao-Hsien and Widjaja, Djohan.
A Neural Network System for Forecasting Method Selection. (1994). Decision Support Systems. 12, (1), 13-24. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/1770