Neural network system for forecasting method selection

Chao Hsien Chu, Djohan Widjaja

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)13-24
Number of pages12
JournalDecision Support Systems
Volume12
Issue number1
DOIs
StatePublished - Aug 1994

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Information Systems
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Information Systems and Management

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